paper_id stringlengths 12 48 | title stringlengths 12 155 | url stringlengths 39 46 | abstract stringlengths 389 2.11k | ocr_markdown stringlengths 18.1k 576k |
|---|---|---|---|---|
qiu-etal-2023-sccs | {SCCS}: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment | https://aclanthology.org/2023.findings-acl.101 | Multimedia summarization with multimodal output (MSMO) is a recently explored application in language grounding. It plays an essential role in real-world applications, i.e., automatically generating cover images and titles for news articles or providing introductions to online videos. However, existing methods extract ... | # Sccs: Semantics-Consistent Cross-Domain Summarization Via Optimal Transport Alignment
Jielin Qiu1, Jiacheng Zhu1, Mengdi Xu1**, Franck Dernoncourt**2, Zhaowen Wang2, Trung Bui2, Bo Li3, Ding Zhao1**, Hailin Jin**2 1Carnegie Mellon University, 2Adobe Research, 3University of Illinois Urbana-Champaign
{jielinq,jzhu4,m... |
meng-etal-2023-general | General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation | https://aclanthology.org/2023.findings-acl.102 | Training keyphrase generation (KPG) models require a large amount of annotated data, which can be prohibitively expensive and often limited to specific domains. In this study, we first demonstrate that large distribution shifts among different domains severely hinder the transferability of KPG models. We then propose a... | # General-To-Specific Transfer Labeling For Domain Adaptable Keyphrase Generation
Rui Meng1, Tong Wang2, Xingdi Yuan2, Yingbo Zhou1**, Daqing He**3 1Salesforce Research, 2Microsoft Research, Montréal, 3University of Pittsburgh ruimeng@salesforce.com
## Abstract
Training keyphrase generation (KPG) models require a la... |
zhang-etal-2023-e | {E}-{NER}: Evidential Deep Learning for Trustworthy Named Entity Recognition | https://aclanthology.org/2023.findings-acl.103 | Most named entity recognition (NER) systems focus on improving model performance, ignoring the need to quantify model uncertainty, which is critical to the reliability of NER systems in open environments. Evidential deep learning (EDL) has recently been proposed as a promising solution to explicitly model predictive un... | # E-Ner: Evidential Deep Learning For Trustworthy Named Entity Recognition
Zhen Zhang1 Mengting Hu1∗ Shiwan Zhao† Minlie Huang2 **Haotian Wang**1 Lemao Liu3 Zhirui Zhang3 Zhe Liu4 **Bingzhe Wu**3* 1 College of Software, Nankai University, 2 The CoAI group, Tsinghua University 3 Tencent AI Lab, 4 Zhejiang Lab zhangz@ma... |
ramos-etal-2023-lmcap | {LMC}ap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting | https://aclanthology.org/2023.findings-acl.104 | Multilingual image captioning has recently been tackled by training with large-scale machine translated data, which is an expensive, noisy, and time-consuming process. Without requiring any multilingual caption data, we propose LMCap, an image-blind few-shot multilingual captioning model that works by prompting a langu... |
## Lmcap**: Few-Shot Multilingual Image Captioning By** Retrieval Augmented Language Model Prompting
Rita Ramos† Bruno Martins† **Desmond Elliott**⋆
†INESC-ID, Instituto Superior Técnico, University of Lisbon
⋆Department of Computer Science, University of Copenhagen ritaparadaramos@tecnico.ulisboa.pt
## Abstract
Mu... |
yang-li-2023-boosting | Boosting Text Augmentation via Hybrid Instance Filtering Framework | https://aclanthology.org/2023.findings-acl.105 | Text augmentation is an effective technique for addressing the problem of insufficient data in natural language processing. However, existing text augmentation methods tend to focus on few-shot scenarios and usually perform poorly on large public datasets. Our research indicates that existing augmentation methods often... | # Boosting Text Augmentation Via Hybrid Instance Filtering Framework
Heng Yang, Ke Li∗
Department of Computer Science, University of Exeter, EX4 4QF, Exeter, UK
{hy345, k.li}@exeter.ac.uk
## Abstract
Text augmentation is an effective technique for addressing the problem of insufficient data in natural language proce... |
nguyen-etal-2023-gradient | Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction | https://aclanthology.org/2023.findings-acl.106 | Multimodal Review Helpfulness Prediction (MRHP) aims to rank product reviews based on predicted helpfulness scores and has been widely applied in e-commerce via presenting customers with useful reviews. Previous studies commonly employ fully-connected neural networks (FCNNs) as the final score predictor and pairwise lo... | # Gradient-Boosted Decision Tree For Listwise Context Model In Multimodal Review Helpfulness Prediction
Thong Nguyen1, Xiaobao Wu2, Xinshuai Dong3**, Anh Tuan Luu**2∗
,
Cong-Duy Nguyen2, Zhen Hai4, **Lidong Bing**4 1National University of Singapore, Singapore 2Nanyang Technological University, Singapore 3Carnegie Mell... |
zeng-etal-2023-extract | Extract and Attend: Improving Entity Translation in Neural Machine Translation | https://aclanthology.org/2023.findings-acl.107 | While Neural Machine Translation (NMT) has achieved great progress in recent years, it still suffers from inaccurate translation of entities (e.g., person/organization name, location), due to the lack of entity training instances. When we humans encounter an unknown entity during translation, we usually first look up i... | # Extract And Attend: Improving Entity Translation In Neural Machine Translation
Zixin Zeng1∗
, Rui Wang2, Yichong Leng3, Junliang Guo2, Xu Tan2,Tao Qin2,**Tie-yan Liu**2 1 Peking University, 2 Microsoft Research Asia 3 University of Science and Technology of China 11800016623@pku.edu.cn 2 {ruiwa,junliangguo,xuta,taoq... |
zheng-lapata-2023-real | Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning | https://aclanthology.org/2023.findings-acl.108 | Compositional generalization is a basic mechanism in human language learning, which current neural networks struggle with. A recently proposed Disentangled sequence-to-sequence model (Dangle) shows promising generalization capability by learning specialized encodings for each decoding step. We introduce two key modific... |
## Real-World Compositional Generalization With Disentangled Sequence-To-Sequence Learning
Hao Zheng and **Mirella Lapata**
Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB
Hao.Zheng@ed.ac.uk mlap@inf.ed.ac.uk
## Abstract
Composit... |
martinez-lorenzo-etal-2023-cross | Cross-lingual {AMR} Aligner: Paying Attention to Cross-Attention | https://aclanthology.org/2023.findings-acl.109 | This paper introduces a novel aligner for Abstract Meaning Representation (AMR) graphs that can scale cross-lingually, and is thus capable of aligning units and spans in sentences of different languages. Our approach leverages modern Transformer-based parsers, which inherently encode alignment information in their cros... | # Cross-Lingual Amr Aligner: Paying Attention To Cross-Attention
Abelardo Carlos Martínez Lorenzo1,2∗ **Pere-Lluís Huguet Cabot**1,2∗
Roberto Navigli2 1 Babelscape, Italy 2 Sapienza NLP Group, Sapienza University of Rome
{martinez,huguetcabot}@babelscape.com navigli@diag.uniroma1.it
## Abstract
This paper introduces... |
liu-etal-2023-zero | Zero-Shot Text Classification via Self-Supervised Tuning | https://aclanthology.org/2023.findings-acl.110 | Existing solutions to zero-shot text classification either conduct prompting with pre-trained language models, which is sensitive to the choices of templates, or rely on large-scale annotated data of relevant tasks for meta-tuning. In this work, we propose a new paradigm based on self-supervised learning to solve zero-... | # Zero-Shot Text Classification Via Self-Supervised Tuning
Chaoqun Liu∗ 12 Wenxuan Zhang† 2 Guizhen Chen∗12 **Xiaobao Wu**1 Anh Tuan Luu1 Chip Hong Chang1 **Lidong Bing**2 1Nanyang Technological University, Singapore, 2DAMO Academy, Alibaba Group
{chaoqun.liu,guizhen.chen,saike.zwx,l.bing}@alibaba-inc.com
{xiaobao002,... |
wang-etal-2023-logical | Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models | https://aclanthology.org/2023.findings-acl.111 | Natural language contains rich logical structures and logical information, and correctly detecting and accurately understanding these logical structures and information underlying natural language texts is very crucial for NLP models{'} performance on many important NLU and NLG tasks. Existing pre-trained language mode... | # Logical Transformers: Infusing Logical Structures Into Pre-Trained Language Models
Borui Wang1∗ Qiuyuan Huang2 Budhaditya Deb2 **Aaron Halfaker**2 Liqun Shao2 Daniel McDuff3† Ahmed Hassan Awadallah2 **Dragomir Radev**1 Jianfeng Gao2 1Yale University 2Microsoft Research 3University of Washington borui.wang@yale.edu
... |
li-etal-2023-large | Large Language Models with Controllable Working Memory | https://aclanthology.org/2023.findings-acl.112 | Large language models (LLMs) have led to a series of breakthroughs in natural language processing (NLP), partly owing to the massive amounts of world knowledge they memorize during pretraining. While many downstream applications provide the model with an informational context to aid its underlying task, how the model{'... | # Large Language Models With Controllable Working Memory
Daliang Li♠, Ankit Singh Rawat♠**, Manzil Zaheer**♥,
Xin Wang♠, Michal Lukasik♠, Andreas Veit♠, Felix Yu♠**, Sanjiv Kumar**♠
♠Google Research New York ♥Google DeepMind New York
{daliangli, ankitsrawat, manzilzaheer}@google.com
{wanxin, mlukasik, aveit, felixyu, ... |
varshney-etal-2023-unified | A Unified Evaluation Framework for Novelty Detection and Accommodation in {NLP} with an Instantiation in Authorship Attribution | https://aclanthology.org/2023.findings-acl.113 | State-of-the-art natural language processing models have been shown to achieve remarkable performance in {`}closed-world{'} settings where all the labels in the evaluation set are known at training time. However, in real-world settings, {`}novel{'} instances that do not belong to any known class are often observed. Thi... | # A Unified Evaluation Framework For Novelty Detection And Accommodation In Nlp With An Instantiation In Authorship Attribution
Neeraj Varshney1∗ Himanshu Gupta1∗ Eric Robertson2 Bing Liu3 **Chitta Baral**1 1 Arizona State University 2 PAR Government Systems Corporation 3 University of Illinois at Chicago
## Abstract... |
duan-etal-2023-cda | {CDA}: A Contrastive Data Augmentation Method for {A}lzheimer{'}s Disease Detection | https://aclanthology.org/2023.findings-acl.114 | Alzheimer{'}s Disease (AD) is a neurodegenerative disorder that significantly impacts a patient{'}s ability to communicate and organize language. Traditional methods for detecting AD, such as physical screening or neurological testing, can be challenging and time-consuming. Recent research has explored the use of deep ... | # Cda: A Contrastive Data Augmentation Method For Alzheimer'S Disease Detection
Junwen Duan1, Fangyuan Wei1, Hongdong Li1, Tianming Liu2, Jianxin Wang1, Jin Liu1∗
1Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University 2School of Computing, The University of Ge... |
zhu-etal-2023-disentangling | Disentangling Aspect and Stance via a {S}iamese Autoencoder for Aspect Clustering of Vaccination Opinions | https://aclanthology.org/2023.findings-acl.115 | Mining public opinions about vaccines from social media has been increasingly relevant to analyse trends in public debates and to provide quick insights to policy-makers. However, the application of existing models has been hindered by the wide variety of users{'} attitudes and the new aspects continuously arising in t... | # Disentangling Aspect And Stance Via A Siamese Autoencoder For Aspect Clustering Of Vaccination Opinions
Lixing Zhu†, Runcong Zhao†, Gabriele Pergola‡, Yulan He**†,‡,§**
†Department of Computer Science, University of Warwick, UK
‡Department of Informatics, King's College London, UK
§The Alan Turing Institute, UK
{lix... |
cohen-bar-2023-temporal | Temporal Relation Classification using {B}oolean Question Answering | https://aclanthology.org/2023.findings-acl.116 | Classifying temporal relations between a pair of events is crucial to natural language understanding and a well-known natural language processing task. Given a document and two event mentions, the task is aimed at finding which one started first. We propose an efficient approach for temporal relation classification (TR... | # Temporal Relation Classification Using Boolean Question Answering
Omer Cohen Efi Arazi School of Computer Science Reichman University, Israel omeromy@gmail.com
## Abstract
Classifying temporal relations between a pair of events is crucial to natural language understanding and a well-known natural language processi... |
chiang-lee-2023-synonym | Are Synonym Substitution Attacks Really Synonym Substitution Attacks? | https://aclanthology.org/2023.findings-acl.117 | In this paper, we explore the following question: Are synonym substitution attacks really synonym substitution attacks (SSAs)?We approach this question by examining how SSAs replace words in the original sentence and show that there are still unresolved obstacles that make current SSAs generate invalid adversarial samp... | # Are Synonym Substitution Attacks Really Synonym **Substitution Attacks?**
Cheng-Han Chiang National Taiwan University, Taiwan dcml0714@gmail.com
## Abstract
In this paper, we explore the following question: Are synonym substitution attacks really synonym substitution attacks (SSAs)? We approach this question by ex... |
e-etal-2023-divhsk | {D}iv{HSK}: Diverse Headline Generation using Self-Attention based Keyword Selection | https://aclanthology.org/2023.findings-acl.118 | Diverse headline generation is an NLP task where given a news article, the goal is to generate multiple headlines that are true to the content of the article but are different among themselves. This task aims to exhibit and exploit semantically similar one-to-many relationships between a source news article and multipl... | # Div**Hsk: Diverse Headline Generation Using Self-Attention Based** Keyword Selection
Venkatesh E, Kaushal Kumar Maurya, Deepak Kumar and **Maunendra Sankar Desarkar**
Indian Institute of Technology Hyderabad, India
{venkateshelangovan.tce, deepak.soe.cusat}@gmail.com, cs18resch11003@iith.ac.in, maunendra@cse.iith.ac... |
bexte-etal-2023-similarity | Similarity-Based Content Scoring - A more Classroom-Suitable Alternative to Instance-Based Scoring? | https://aclanthology.org/2023.findings-acl.119 | Automatically scoring student answers is an important task that is usually solved using instance-based supervised learning. Recently, similarity-based scoring has been proposed as an alternative approach yielding similar perfor- mance. It has hypothetical advantages such as a lower need for annotated training data and ... | # Similarity-Based Content Scoring - A More Classroom-Suitable Alternative To Instance-Based Scoring?
Marie Bexte1and Andrea Horbach**1, 2** and **Torsten Zesch**1 1CATALPA, FernUniversität in Hagen, Germany 2Hildesheim University, Germany
## Abstract
Automatically scoring student answers is an important task that i... |
ou-etal-2023-pragmatic | Pragmatic Inference with a {CLIP} Listener for Contrastive Captioning | https://aclanthology.org/2023.findings-acl.120 | We propose a simple yet effective and robust method for contrastive captioning: generating discriminative captions that distinguish target images from very similar alternative distractor images. Our approach is built on a pragmatic inference procedure that formulates captioning as a reference game between a speaker, wh... | # Pragmatic Inference With A Clip Listener For Contrastive Captioning
Jiefu Ou1 Benno Krojer2 **Daniel Fried**1 Carnegie Mellon University1 Mila/McGill University2 jiefuo@andrew.cmu.edu
## Abstract
We propose a simple yet effective and robust method for contrastive captioning: genera... |
yoffe-etal-2023-statistical | A Statistical Exploration of Text Partition Into Constituents: The Case of the Priestly Source in the Books of Genesis and Exodus | https://aclanthology.org/2023.findings-acl.121 | We present a pipeline for a statistical stylometric exploration of a hypothesized partition of a text. Given a parameterization of the text, our pipeline: (1) detects literary features yielding the optimal overlap between the hypothesized and unsupervised partitions, (2) performs a hypothesis-testing analysis to quanti... | # A Statistical Exploration Of Text Partition Into Constituents: The Case Of The Priestly Source In The Books Of Genesis And Exodus
Gideon Yoffe gideon.yoffe@mail.huji.ac.il Axel Bühler axel.buhler@unige.ch Nachum Dershowitz nachumd@tauex.tau.ac.il Israel Finkelstein fink2@tauex.tau.ac.il Eli Piasetzky eip@tauphy.tau.... |
liu-etal-2023-language | A Language-First Approach for Procedure Planning | https://aclanthology.org/2023.findings-acl.122 | Procedure planning, or the ability to predict a series of steps that can achieve a given goal conditioned on the current observation, is critical for building intelligent embodied agents that can assist users in everyday tasks. Encouraged by the recent success of language models (LMs) for zero-shot and few-shot plannin... | # A Language-First Approach To Procedure Planning
Jiateng Liu*, Sha Li*, Zhenhailong Wang, Manling Li, Heng Ji University of Illinois Urbana-Champaign jiateng5,shal2,manling2,wangz3,hengji@uiuc.edu
## Abstract
Procedure planning, or the ability to predict a series of steps that can achieve a given goal conditioned o... |
kulkarni-etal-2023-empirical | An Empirical Analysis of Leveraging Knowledge for Low-Resource Task-Oriented Semantic Parsing | https://aclanthology.org/2023.findings-acl.123 | Task-oriented semantic parsing has drawn a lot of interest from the NLP community, and especially the voice assistant industry as it enables representing the meaning of user requests with arbitrarily nested semantics, including multiple intents and compound entities. SOTA models are large seq2seq transformers and requi... | # An Empirical Analysis Of Leveraging Knowledge For Low-Resource Task-Oriented Semantic Parsing
Mayank Kulkarni1, Aoxiao Zhong2∗, Nicolas Guenon des mesnards1**, Sahar Movaghati**1, Mukund Sridhar1, He Xie1, **Jianhua Lu**1 1Amazon Alexa AI 2Harvard University
{maykul,mesnarn,movas,harakere,hexie,jianhual}@amazon.com ... |
zhang-etal-2023-templm | {T}emp{LM}: Distilling Language Models into Template-Based Generators | https://aclanthology.org/2023.findings-acl.124 | While pretrained language models (PLMs) have greatly improved text generation, they have also been known to produce unfaithful or inappropriate content. In contrast, classic template-based systems provide strong guarantees of faithfulness at the cost of fluency. We propose TempLM, which achieves the best of both worlds... | # Templm: Distilling Language Models Into Template-Based Generators
Tianyi Zhang, Mina Lee∗, Lisa Li∗, Ende Shen∗**, Tatsunori B. Hashimoto**
Computer Science Department, Stanford University
{tz58, minalee, xlisali, endeshen, thashim}@stanford.edu
## Abstract
While pretrained language models (PLMs)
have greatly impr... |
vasylenko-etal-2023-incorporating | Incorporating Graph Information in Transformer-based {AMR} Parsing | https://aclanthology.org/2023.findings-acl.125 | Abstract Meaning Representation (AMR) is a Semantic Parsing formalism that aims at providing a semantic graph abstraction representing a given text. Current approaches are based on autoregressive language models such as BART or T5, fine-tuned through Teacher Forcing to obtain a linearized version of the AMR graph from ... | # Incorporating Graph Information In Transformer-Based Amr Parsing
Pavlo Vasylenko1 **Pere-Lluís Huguet Cabot**1,2∗
Abelardo Carlos Martínez Lorenzo1,2∗ **Roberto Navigli**1 1 Sapienza NLP Group, Sapienza University of Rome 2 Babelscape, Rome vasylen.pavlo@gmail.com
{martinez, huguetcabot}@babelscape.com navigli@diag.... |
yang-etal-2023-rethinking | Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement | https://aclanthology.org/2023.findings-acl.126 | Word-level Quality Estimation (QE) of Machine Translation (MT) aims to detect potential translation errors in the translated sentence without reference. Typically, conventional works on word-level QE are usually designed to predict the quality of translated words in terms of the post-editing effort, where the word labe... | # Rethinking The Word-Level Quality Estimation For Machine Translation From Human Judgement
Zhen Yang, Fandong Meng, Yuanmeng Yan, and Jie Zhou Pattern Recognition Center, WeChat AI, Tencent Inc, Beijing, China
{zieenyang, fandongmeng, withtomzhou}@tencent.com
## Abstract
Word-level Quality Estimation (QE) of Machin... |
cui-etal-2023-pv2tea | {PV}2{TEA}: Patching Visual Modality to Textual-Established Information Extraction | https://aclanthology.org/2023.findings-acl.127 | Information extraction, e.g., attribute value extraction, has been extensively studied and formulated based only on text. However, many attributes can benefit from image-based extraction, like color, shape, pattern, among others. The visual modality has long been underutilized, mainly due to multimodal annotation diffi... | # Pv2Tea: Patching Visual Modality To Textual-Established Information Extraction
Hejie Cui1∗, Rongmei Lin2, Nasser Zalmout2**, Chenwei Zhang**2, Jingbo Shang3, Carl Yang1**, Xian Li**2 1 Emory University, GA, USA
2 Amazon.com Inc, WA, USA
3 University of California, San Diego, CA, USA
{hejie.cui, j.carlyang}@emory.edu... |
chen-etal-2023-structural | Structural Contrastive Pretraining for Cross-Lingual Comprehension | https://aclanthology.org/2023.findings-acl.128 | To present, multilingual language models trained using various pre-training tasks like mask language modeling (MLM) have yielded encouraging results on a wide range of downstream tasks. Despite the promising performances, structural knowledge in cross-lingual corpus is less explored in current works, leading to the sem... | Structural Contrastive Pretraining for Cross-Lingual Comprehension Nuo Chen1, Linjun Shou2, Tengtao Song3, Ming Gong2**, Jian Pei**4 Jianhui Chang3, Daxin Jiang2**, Jia Li**1∗
1Hong Kong University of Science and Technology (Guangzhou),
Hong Kong University of Science and Technology 2STCA, Microsoft, Beijing, 3Peking U... |
jia-etal-2023-reducing | Reducing Sensitivity on Speaker Names for Text Generation from Dialogues | https://aclanthology.org/2023.findings-acl.129 | Changing speaker names consistently throughout a dialogue should not affect its meaning and corresponding outputs for text generation from dialogues. However, pre-trained language models, serving as the backbone for dialogue-processing tasks, have shown to be sensitive to nuances. This may result in unfairness in real-... | # Reducing Sensitivity On Speaker Names For Text Generation From Dialogues
Qi Jia1, Haifeng Tang2**, Kenny Q. Zhu**3∗
1,3Shanghai Jiao Tong University, Shanghai, China 2China Merchants Bank Credit Card Center, Shanghai, China 1Jia_qi@sjtu.edu.cn, 2thfeng@cmbchina.com, 3kzhu@cs.sjtu.edu.cn
## Abstract
Changing speake... |
qiu-etal-2023-topic | Topic and Style-aware Transformer for Multimodal Emotion Recognition | https://aclanthology.org/2023.findings-acl.130 | Understanding emotion expressions in multimodal signals is key for machines to have a better understanding of human communication. While language, visual and acoustic modalities can provide clues from different perspectives, the visual modality is shown to make minimal contribution to the performance in the emotion rec... | # Topic And Style-Aware Transformer For Multimodal Emotion Recognition
Shuwen Qiu1 Nitesh Sekhar2 **Prateek Singhal**2 s.qiu@ucla.edu seknites@amazon.com prtksngh@amazon.com 1University of California, Los Angeles 2Amazon
## Abstract
Understanding emotion expressions in multimodal signals is key for machines to have ... |
wang-etal-2023-exploiting | Exploiting {A}bstract {M}eaning {R}epresentation for Open-Domain Question Answering | https://aclanthology.org/2023.findings-acl.131 | The Open-Domain Question Answering (ODQA) task involves retrieving and subsequently generating answers from fine-grained relevant passages within a database. Current systems leverage Pretrained Language Models (PLMs) to model the relationship between questions and passages. However, the diversity in surface form expres... | # Exploiting Abstract Meaning Representation For Open-Domain Question Answering
Cunxiang Wang♠♣∗
, Zhikun Xu♡, Qipeng Guo♢**, Xiangkun Hu**♢,
Xuefeng Bai♣, Zheng Zhang♢ **and Yue Zhang**♣†
♠Zhejiang University, China
♣School of Engineering, Westlake University, China
♡Fudan University, China; ♢Amazon AWS AI
{wangcunxi... |
min-etal-2023-nonparametric | Nonparametric Masked Language Modeling | https://aclanthology.org/2023.findings-acl.132 | Existing language models (LMs) predict tokens with a softmax over a finite vocabulary, which can make it difficult to predict rare tokens or phrases. We introduce NPM, the first nonparametric masked language model that replaces this softmax with a nonparametric distribution over every phrase in a reference corpus. NPM ... | # Nonparametric Masked Language Modeling
Sewon Min1,2 **Weijia Shi**1,2 Mike Lewis2 **Xilun Chen**2 Wen-tau Yih2 **Hannaneh Hajishirzi**1,3 **Luke Zettlemoyer**1,2 1University of Washington 2Meta AI 3Allen Institute for AI
{sewon,swj0419,hannaneh,lsz}@cs.washington.edu
{mikelewis,xilun,scottyih}@meta.com
## Abstract
... |
cao-etal-2023-pay | Pay More Attention to Relation Exploration for Knowledge Base Question Answering | https://aclanthology.org/2023.findings-acl.133 | Knowledge base question answering (KBQA) is a challenging task that aims to retrieve correct answers from large-scale knowledge bases. Existing attempts primarily focus on entity representation and final answer reasoning, which results in limited supervision for this task. Moreover, the relations, which empirically det... | # Pay More Attention To Relation Exploration For Knowledge Base Question Answering
Yong Cao1**, Xianzhi Li**1†
, Huiwen Liu2, Wen Dai2**, Shuai Chen**2, Bin Wang2, Min Chen3**, and Daniel Hershcovich**4 1 Huazhong University of Science and Technology 2Xiaomi AI Lab, China.
3School of Computer Science and Engineering,... |
haemmerl-etal-2023-speaking | Speaking Multiple Languages Affects the Moral Bias of Language Models | https://aclanthology.org/2023.findings-acl.134 | Pre-trained multilingual language models (PMLMs) are commonly used when dealing with data from multiple languages and cross-lingual transfer. However, PMLMs are trained on varying amounts of data for each language. In practice this means their performance is often much better on English than many other languages. We ex... | # Speaking Multiple Languages Affects The Moral Bias Of Language Models Katharina Hämmerl1,2And **Björn Deiseroth**3,4And **Patrick Schramowski**4,5,9
Jindrich Libovický ˇ
6and **Constantin A. Rothkopf**5,7,8 Alexander Fraser1,2and **Kristian Kersting**4,5,8,9 1Center for Information and Language Processing, LMU Munic... |
nguyen-etal-2023-retrieving | Retrieving Relevant Context to Align Representations for Cross-lingual Event Detection | https://aclanthology.org/2023.findings-acl.135 | We study the problem of cross-lingual transfer learning for event detection (ED) where models trained on a source language are expected to perform well on data for a new target language. Among a few recent works for this problem, the main approaches involve representation matching (e.g., adversarial training) that aims... | # Retrieving Relevant Context To Align Representations For Cross-Lingual Event Detection
Chien Van Nguyen1, Linh Van Ngo2**, and Thien Huu Nguyen**3 1 VinAI Research, Vietnam 2 Hanoi University of Science and Technology, Hanoi, Vietnam 3 Department of Computer Science, University of Oregon, Eugene, OR, USA
v.chiennv22... |
peng-sun-2023-normnet | {N}orm{N}et: Normalize Noun Phrases for More Robust {NLP} | https://aclanthology.org/2023.findings-acl.136 | A critical limitation of deep NLP models is their over-fitting over spurious features. Previous work has proposed several approaches to debunk such features and reduce their impact on the learned models. In this work, a normalization strategy is proposed to eliminate the false features caused by the textual surfaces of... | # Normnet: Normalize Noun Phrases For More Robust Nlp
Minlong Peng, Mingming Sun Cognitive Computing Lab, Baidu Research, Beijing, China
{pengminlong, sunmingming01}@baidu.com
## Abstract
A critical limitation of deep NLP models is their over-fitting over spurious features. Previous work has proposed several approac... |
lee-etal-2023-cross | Cross Encoding as Augmentation: Towards Effective Educational Text Classification | https://aclanthology.org/2023.findings-acl.137 | Text classification in education, usually called auto-tagging, is the automated process of assigning relevant tags to educational content, such as questions and textbooks. However, auto-tagging suffers from a data scarcity problem, which stems from two major challenges: 1) it possesses a large tag space and 2) it is mu... | # Cross Encoding As Augmentation: Towards Effective Educational Text Classification
Hyun Seung Lee∗ 1,2 **Seungtaek Choi**∗ † 1 Yunsung Lee1 Hyeongdon Moon1 **Shinhyeok Oh**1 Myeongho Jeong1 Hyojun Go1 **Christian Wallraven**† 2 1Riiid AI Research 2Department of Artificial Intelligence, Korea University
{hyunseung.lee... |
nookala-etal-2023-adversarial | Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding | https://aclanthology.org/2023.findings-acl.138 | State-of-the-art few-shot learning (FSL) methods leverage prompt-based fine-tuning to obtain remarkable results for natural language understanding (NLU) tasks. While much of the prior FSL methods focus on improving downstream task performance, there is a limited understanding of the adversarial robustness of such metho... | # Adversarial Robustness Of Prompt-Based Few-Shot Learning For Natural Language Understanding
Venkata Prabhakara Sarath Nookala∗
Georgia Institute of Technology vnookala3@gatech.edu
## Subhabrata Mukherjee
Microsoft Research subhabrata.mukherjee@microsoft.com
## Abstract
State-of-the-art few-shot learning (FSL) me... |
goldfarb-tarrant-etal-2023-prompt | This prompt is measuring {\textless}mask{\textgreater}: evaluating bias evaluation in language models | https://aclanthology.org/2023.findings-acl.139 | Bias research in NLP seeks to analyse models for social biases, thus helping NLP practitioners uncover, measure, and mitigate social harms. We analyse the body of work that uses prompts and templates to assess bias in language models. We draw on a measurement modelling framework to create a taxonomy of attributes that ... | # This Prompt Is Measuring <Mask>: Evaluating Bias Evaluation In Language Models
Seraphina Goldfarb-Tarrant∗and **Eddie Ungless**∗
University of Edinburgh
{s.tarrant, e.l.ungless}@ed.ac.uk Esma Balkir National Research Council Canada Esma.Balkir@nrc-cnrc.gc.ca Su Lin Blodgett Microsoft Research SuLin.Blodgett@microsof... |
zhou-etal-2023-towards-open | Towards Open Environment Intent Prediction | https://aclanthology.org/2023.findings-acl.140 | Out-of-Domain (OOD) Intent Classification and New Intent Discovering are two basic and critical tasks in the Task-Oriented Dialogue System, which are typically treated two independent tasks. Classification focuses on identifying intents beyond the predefined set of the dialog system, but it will not further differentia... | # Towards Open Environment Intent Prediction
Yunhua Zhou, Jiawei Hong, Xipeng Qiu∗
School of Computer Science, Fudan University
{zhouyh20,xpqiu}@fudan.edu.cn hongjw21@m.fudan.edu.cn
## Abstract
Out-of-Domain (OOD) Intent Classification and *New Intent Discovery* are as two basic and critical tasks in the Task-Orient... |
liu-huang-2023-teamwork | Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction | https://aclanthology.org/2023.findings-acl.141 | Class-incremental learning (CIL) aims to develop a learning system that can continually learn new classes from a data stream without forgetting previously learned classes. When learning classes incrementally, the classifier must be constantly updated to incorporate new classes, and the drift in decision boundary may le... | # Teamwork Is Not Always Good: An Empirical Study Of Classifier Drift In Class-Incremental Information Extraction
Minqian Liu, Lifu Huang Computer Science Department Virginia Tech
{minqianliu,lifuh}@vt.edu
## Abstract
Class-incremental learning (CIL) aims to develop a learning system that can continually learn new c... |
obadic-etal-2023-c | {C}-{XNLI}: {C}roatian Extension of {XNLI} Dataset | https://aclanthology.org/2023.findings-acl.142 | Comprehensive multilingual evaluations have been encouraged by emerging cross-lingual benchmarks and constrained by existing parallel datasets. To partially mitigate this limitation, we extended the Cross-lingual Natural Language Inference (XNLI) corpus with Croatian. The development and test sets were translated by a ... | # C-Xnli: Croatian Extension Of Xnli Dataset
Leo Obadic, Andrej Jertec, Marko Rajnovi ´ **c, Branimir Dropulji** ´ c´
RealNetworks, Inc.
{lobadic,anjertec,mrajnovic,bdropuljic}@realnetworks.com
## Abstract
Comprehensive multilingual evaluations have been encouraged by emerging cross-lingual benchmarks and constrain... |
ahmad-etal-2023-avatar | {AVATAR}: A Parallel Corpus for {J}ava-Python Program Translation | https://aclanthology.org/2023.findings-acl.143 | Program translation refers to migrating source code from one programming language to another. It has tremendous practical value in software development, as porting software across languages is time-consuming and costly. Automating program translation is of paramount importance in software migration, and recently resear... | # Avatar**: A Parallel Corpus For Java-Python Program Translation**
Wasi Uddin Ahmad†**, Md Golam Rahman Tushar**§
Saikat Chakraborty‡, **Kai-Wei Chang**†
†University of California, Los Angeles, ‡Microsoft Research, §Independent Contributor
†{wasiahmad, kwchang}@cs.ucla.edu
‡saikatc@microsoft.com, §grtushar11@gmail.co... |
jelenic-etal-2023-dataset | On Dataset Transferability in Active Learning for Transformers | https://aclanthology.org/2023.findings-acl.144 | Active learning (AL) aims to reduce labeling costs by querying the examples most beneficial for model learning. While the effectiveness of AL for fine-tuning transformer-based pre-trained language models (PLMs) has been demonstrated, it is less clear to what extent the AL gains obtained with one model transfer to other... | # On Dataset Transferability In Active Learning For Transformers
Fran Jelenic Josip Juki ´ **c Nina Drobac Jan Šnajder** ´
University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia Text Analysis and Knowledge Engineering Lab
{fran.jelenic, josip.jukic, nina.drobac, jan.snajder}@fer.hr
## Abstract... |
weber-etal-2023-structured | Structured Persuasive Writing Support in Legal Education: A Model and Tool for {G}erman Legal Case Solutions | https://aclanthology.org/2023.findings-acl.145 | We present an annotation approach for capturing structured components and arguments inlegal case solutions of German students. Based on the appraisal style, which dictates the structured way of persuasive writing in German law, we propose an annotation scheme with annotation guidelines that identify structured writing ... | # Structured Persuasive Writing Support In Legal Education: A Model And Tool For German Legal Case Solutions
Florian Weber University of Kassel / GER
weber@uni-kassel.de Seyed Parsa Neshaei EPFL / CH
seyed.neshaei@epfl.ch
## Abstract
We present an annotation approach for capturing structured components and arguments... |
zheng-etal-2023-characterizing | Characterizing the Impacts of Instances on Robustness | https://aclanthology.org/2023.findings-acl.146 | Building robust deep neural networks (DNNs) against adversarial attacks is an important but challenging task. Previous defense approaches mainly focus on developing new model structures or training algorithms, but they do little to tap the potential of training instances, especially instances with robust patterns carri... | # Characterizing The Impacts Of Instances On Robustness
Rui Zheng1∗, Zhiheng Xi1∗, Qin Liu2, Wenbin Lai1**, Tao Gui**3†,
Qi Zhang1, Xuanjing Huang1, Jin Ma4, Ying Shan4**, Weifeng Ge**1†
1 School of Computer Science, Fudan University 2 Viterbi School of Engineering, University of Southern California 3Institute of Mode... |
fu-etal-2023-generate | Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge | https://aclanthology.org/2023.findings-acl.147 | The open-ended Visual Question Answering (VQA) task requires AI models to jointly reason over visual and natural language inputs using world knowledge. Recently, pre-trained Language Models (PLM) such as GPT-3 have been applied to the task and shown to be powerful world knowledge sources. However, these methods suffer ... | # Generate Then Select: Open-Ended Visual Question Answering Guided By World Knowledge
Xingyu Fu1∗, Sheng Zhang2, Gukyeong Kwon2**, Pramuditha Perera**2, Henghui Zhu2, Yuhao Zhang2, Alexander Hanbo Li2**, William Wang**2, Zhiguo Wang2, Vittorio Castelli2, Patrick Ng2**, Dan Roth**1,2**, Bing Xiang**2 1 University of P... |
wu-etal-2023-hence | Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning | https://aclanthology.org/2023.findings-acl.148 | Syllogistic reasoning, a typical form of deductive reasoning, is a critical capability widely required in natural language understanding tasks, such as text entailment and question answering. To better facilitate research on syllogistic reasoning, we develop a benchmark called SylloBase that differs from existing syllo... | # Hence, Socrates Is Mortal**: A Benchmark For Natural Language Syllogistic** Reasoning
Yongkang Wu1, Meng Han1, Yutao Zhu2, Lei Li1, Xinyu Zhang1**, Ruofei Lai**1, Xiaoguang Li3, Yuanhang Ren1, Zhicheng Dou4 **and Zhao Cao**1∗
1Huawei Poisson Lab, China 2University of Montreal, Montreal, Quebec, Canada 3Huawei Noah's... |
clark-schuler-2023-categorial | Categorial grammar induction from raw data | https://aclanthology.org/2023.findings-acl.149 | Grammar induction, the task of learning a set of grammatical rules from raw or minimally labeled text data, can provide clues about what kinds of syntactic structures are learnable without prior knowledge. Recent work (e.g., Kim et al., 2019; Zhu et al., 2020; Jin et al., 2021a) has achieved advances in unsupervised in... | # Categorial Grammar Induction From Raw Data
Christian Clark and **William Schuler**
Department of Linguistics The Ohio State University
{clark.3664,schuler.77}@osu.edu
## Abstract
Grammar induction, the task of learning a set of grammatical rules from raw or minimally labeled text data, can provide clues about what... |
liu-etal-2023-attribute | Attribute Controlled Dialogue Prompting | https://aclanthology.org/2023.findings-acl.150 | Prompt-tuning has become an increasingly popular parameter-efficient method for adapting large pretrained language models to downstream tasks. However, both discrete prompting and continuous prompting assume fixed prompts for all data samples within a task, neglecting the fact that inputs vary greatly in some tasks suc... | # Attribute Controlled Dialogue Prompting
Runcheng Liu1,2∗, Ahmad Rashid1,2∗**, Ivan Kobyzev**3 Mehdi Rezagholizadeh3**, Pascal Poupart**1,2 1David R. Cheriton School of Computer Science, University of Waterloo 2Vector Institute, Canada 3Huawei Noah's Ark Lab, Canada
{ireneliu,a9rashid,ppoupart}@uwaterloo.ca
{ivan.kob... |
maheshwari-etal-2023-open | Open-World Factually Consistent Question Generation | https://aclanthology.org/2023.findings-acl.151 | Question generation methods based on pre-trained language models often suffer from factual inconsistencies and incorrect entities and are not answerable from the input paragraph. Domain shift {--} where the test data is from a different domain than the training data - further exacerbates the problem of hallucination. T... | # Open-World Factually Consistent Question Generation
Himanshu Maheshwari, Sumit Shekhar, Apoorv Saxena, Niyati Chhaya Adobe Research, India
{himahesh, sushekha, apoorvs, nchhaya} @ adobe.com
## Abstract
Question generation methods based on pretrained language models often suffer from factual inconsistencies and inc... |
zhang-etal-2023-contrastive | Contrastive Learning of Sociopragmatic Meaning in Social Media | https://aclanthology.org/2023.findings-acl.152 | Recent progress in representation and contrastive learning in NLP has not widely considered the class of sociopragmatic meaning (i.e., meaning in interaction within different language communities). To bridge this gap, we propose a novel framework for learning task-agnostic representations transferable to a wide range o... | # Contrastive Learning Of Sociopragmatic Meaning In Social Media
Chiyu Zhang1 Muhammad Abdul-Mageed1,2 **Ganesh Jawahar**1 1Deep Learning & Natural Language Processing Group, The University of British Columbia 2Department of Natural Language Processing & Department of Machine Learning, MBZUAI
chiyuzh@mail.ubc.ca, muha... |
wang-etal-2023-noisy | Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning | https://aclanthology.org/2023.findings-acl.153 | This paper studies speculative reasoning task on real-world knowledge graphs (KG) that contain both false negative issue (i.e., potential true facts being excluded) and false positive issue (i.e., unreliable or outdated facts being included). State-of-the-art methods fall short in the speculative reasoning ability, as ... | # Noisy Positive-Unlabeled Learning With Self-Training For Speculative Knowledge Graph Reasoning
Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, **Tarek F. Abdelzaher**
University of Illinois Urbana-Champaign, IL, USA
{ruijiew2,baoyul2,yichen14,dsun18,jinning4,yuche... |
li-etal-2023-across | {ACROSS}: An Alignment-based Framework for Low-Resource Many-to-One Cross-Lingual Summarization | https://aclanthology.org/2023.findings-acl.154 | This research addresses the challenges of Cross-Lingual Summarization (CLS) in low-resource scenarios and over imbalanced multilingual data. Existing CLS studies mostly resort to pipeline frameworks or multi-task methods in bilingual settings. However, they ignore the data imbalance in multilingual scenarios and do not... | # Across: An Alignment-Based Framework For Low-Resource Many-To-One Cross-Lingual Summarization
Peiyao Li1 Zhengkun Zhang1 Jun Wang2 Liang Li3 Adam Jatowt4 **Zhenglu Yang**1∗
1TKLNDST, CS, Nankai University, China 2Shandong Key Laboratory of Language Resource Development and Application, College of Mathematics and Sta... |
wang-etal-2023-rfid | {RF}i{D}: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering | https://aclanthology.org/2023.findings-acl.155 | Open-Domain Question Answering (ODQA) systems necessitate a reader model capable of generating answers by simultaneously referring to multiple passages. Although representative models like Fusion-in-Decoder (FiD) have been proposed to address this challenge, these systems can inadvertently rely on spurious features ins... | # Rfid: Towards Rational Fusion-In-Decoder For Open-Domain Question Answering
Cunxiang Wang♣**, Haofei Yu**♥∗
, Yue Zhang♣†
♣School of Engineering, Westlake University, China
♥Language Technologies Institute, Carnegie Mellon University, USA
{wangcunxiang, zhangyue}@westlake.edu.cn; haofeiy@cs.cmu.edu
## Abstract
Ope... |
song-etal-2023-unsupervised | Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function | https://aclanthology.org/2023.findings-acl.156 | We create a \textit{paradigm shift} concerning building unsupervised keyphrase extraction systems in this paper. Instead of modeling the relevance between an individual candidate phrase and the document as in the commonly used framework, we formulate the unsupervised keyphrase extraction task as a document-set matching... | # Unsupervised Keyphrase Extraction By Learning Neural Keyphrase Set Function
Mingyang Song♠, Haiyun Jiang♣∗, Lemao Liu♣, Shuming Shi♣**, Liping Jing**♠∗
♣Tencent AI Lab, Shenzhen, China
♠Beijing Key Lab of Traffic Data Analysis and Mining
♠Beijing Jiaotong University, Beijing, China mingyang.song@bjtu.edu.cn
## Abst... |
zhang-etal-2023-diffusion | Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias | https://aclanthology.org/2023.findings-acl.157 | Pre-trained Language Models (PLMs) may be poisonous with backdoors or bias injected by the suspicious attacker during the fine-tuning process. A core challenge of purifying potentially poisonous PLMs is precisely finding poisonous dimensions. To settle this issue, we propose the Fine-purifying approach, which utilizes ... | # Diffusion Theory As A Scalpel: Detecting And Purifying Poisonous Dimensions In Pre-Trained Language Models Caused By Backdoor Or Bias
Zhiyuan Zhang1,2, Deli Chen2, Hao Zhou2, Fandong Meng2, Jie Zhou2**, Xu Sun**1 1National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking Unive... |
ossowski-hu-2023-retrieving | Retrieving Multimodal Prompts for Generative Visual Question Answering | https://aclanthology.org/2023.findings-acl.158 | Recent years have witnessed impressive results of pre-trained vision-language models on knowledge-intensive tasks such as visual question answering (VQA). Despite the recent advances in VQA, existing methods mainly adopt a discriminative formulation that predicts answers within a pre-defined label set, leading to easy ... | # Multimodal Prompt Retrieval For Generative Visual Question Answering
Timothy Ossowski1**, Junjie Hu**1,2 1Department of Computer Science, 2Department of Biostatistics and Medical Informatics University of Wisconsin, Madison, WI, USA
ossowski@wisc.edu, junjie.hu@wisc.edu
## Abstract 1 Introduction
Recent years have... |
khincha-etal-2023-infosync | {I}nfo{S}ync: Information Synchronization across Multilingual Semi-structured Tables | https://aclanthology.org/2023.findings-acl.159 | Information Synchronization of semi-structured data across languages is challenging. For example, Wikipedia tables in one language need to be synchronized with others. To address this problem, we introduce a new dataset InfoSync and a two-step method for tabular synchronization. InfoSync contains 100K entity-centric ta... | # Infosync**: Information Synchronization Across Multilingual** Semi-Structured Tables
Siddharth Khincha1, Chelsi Jain2**, Vivek Gupta**3†∗
, Tushar Kataria3†**, Shuo Zhang**4 1IIT Guwahati, 2CTAE, Udaipur, 3University of Utah†
,
4Bloomberg, s.khincha@iitg.ac.in, chelsiworld@gmail.com
{vgupta, tkataria}@cs.utah.edu, {... |
wang-etal-2023-t2iat | {T}2{IAT}: Measuring Valence and Stereotypical Biases in Text-to-Image Generation | https://aclanthology.org/2023.findings-acl.160 | *Warning: This paper contains several contents that may be toxic, harmful, or offensive.*In the last few years, text-to-image generative models have gained remarkable success in generating images with unprecedented quality accompanied by a breakthrough of inference speed. Despite their rapid progress, human biases that... | # T2Iat: Measuring Valence And Stereotypical Biases In Text-To-Image Generation
Jialu Wang, Xinyue Gabby Liu, Zonglin Di, Yang Liu, Xin Eric Wang∗
University of California, Santa Cruz Santa Cruz, CA, USA
{faldict, xliu167, zdi, yangliu, xwang366}@ucsc.edu
## Abstract
Warning: This paper contains several contents tha... |
ben-abacha-etal-2023-investigation | An Investigation of Evaluation Methods in Automatic Medical Note Generation | https://aclanthology.org/2023.findings-acl.161 | Recent studies on automatic note generation have shown that doctors can save significant amounts of time when using automatic clinical note generation (Knoll et al., 2022). Summarization models have been used for this task to generate clinical notes as summaries of doctor-patient conversations (Krishna et al., 2021; Ca... | # An Investigation Of Evaluation Metrics For Automated Medical Note Generation
Asma Ben Abacha Microsoft Health AI
abenabacha@microsoft.com George Michalopoulos Microsoft Health AI
georgemi@microsoft.com
## Abstract
Recent studies on automatic note generation have shown that doctors can save significant amounts of t... |
hao-etal-2023-rethinking | Rethinking Translation Memory Augmented Neural Machine Translation | https://aclanthology.org/2023.findings-acl.162 | This paper rethinks translation memory augmented neural machine translation (TM-augmented NMT) from two perspectives, i.e., a probabilistic view of retrieval and the variance-bias decomposition principle. The finding demonstrates that TM-augmented NMT is good at the ability of fitting data (i.e., lower bias) but is mor... | # Rethinking Translation Memory Augmented Neural Machine Translation
Hongkun Hao1∗ Guoping Huang2 **Lemao Liu**2†
Zhirui Zhang2 Shuming Shi2 **Rui Wang**1†
1Shanghai Jiao Tong University {haohongkun, wangrui12}@sjtu.edu.cn 2Tencent AI Lab {donkeyhuang, redmondliu, shumingshi}@tencent.com zrustc11@gmail.com
## Abstrac... |
wang-etal-2023-controlling | Controlling Styles in Neural Machine Translation with Activation Prompt | https://aclanthology.org/2023.findings-acl.163 | Controlling styles in neural machine translation (NMT) has attracted wide attention, as it is crucial for enhancing user experience. Earlier studies on this topic typically concentrate on regulating the level of formality and achieve some progress in this area. However, they still encounter two major challenges. The fi... | # Controlling Styles In Neural Machine Translation With Activation Prompt
Yifan Wang1,2∗
, Zewei Sun2, Shanbo Cheng2, Weiguo Zheng1**, Mingxuan Wang**2 1 Fudan University, 2 ByteDance isivan.wang@gmail.com, zhengweiguo@fudan.edu.cn
{sunzewei.v,chengshanbo,wangmingxuan.89}@bytedance.com
## Abstract
Controlling styles... |
xu-etal-2023-focusing | Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition | https://aclanthology.org/2023.findings-acl.164 | Few-shot named entity recognition (NER), identifying named entities with a small number of labeled data, has attracted much attention. Frequently, entities are nested within each other. However, most of the existing work on few-shot NER addresses flat entities instead of nested entities. To tackle nested NER in a few-s... |
## Focusing, Bridging And Prompting For Few-Shot Nested Named Entity Recognition
Yuanyuan Xu1 Zeng Yang1 Linhai Zhang1 Deyu Zhou1∗ Tiandeng Wu2 **Rong Zhou**2 1School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, China... |
luo-etal-2023-together | Together We Make Sense{--}Learning Meta-Sense Embeddings | https://aclanthology.org/2023.findings-acl.165 | Sense embedding learning methods learn multiple vectors for a given ambiguous word, corresponding to its different word senses. For this purpose, different methods have been proposed in prior work on sense embedding learning that use different sense inventories, sense-tagged corpora and learning methods. However, not a... | # Together We Make Sense**– Learning Meta-Sense Embeddings From** Pretrained Static Sense Embeddings
Danushka Bollegala†,‡
Haochen Luo† **Yi Zhou**♢
University of Liverpool†, Cardiff University♢, Amazon‡
haochen.luo@outlook.com danushka@liverpool.ac.uk zhouy131@cardiff.ac.uk
## Abstract
Sense embedding learning meth... |
yang-etal-2023-multimodal | Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels | https://aclanthology.org/2023.findings-acl.166 | Generating an informative and attractive title for the product is a crucial task for e-commerce. Most existing works follow the standard multimodal natural language generation approaches, e.g., image captioning, and employ the large scale of human-labelled datasets to train desirable models. However, for novel products... | # Multimodal Prompt Learning For Product Title Generation With Extremely Limited Labels
Bang Yang1∗
, Fenglin Liu2∗
, Zheng Li3†
, Qingyu Yin3, Chenyu You4, Bing Yin3**, Yuexian Zou**1†
1School of ECE, Peking University, China 2University of Oxford, United Kingdom 3Amazon.com Inc, Palo Alto, USA 4 Yale University, USA... |
ziems-etal-2023-large | Large Language Models are Built-in Autoregressive Search Engines | https://aclanthology.org/2023.findings-acl.167 | Document retrieval is a key stage of standard Web search engines. Existing dual-encoder dense retrievers obtain representations for questions and documents independently, allowing for only shallow interactions between them. To overcome this limitation, recent autoregressive search engines replace the dual-encoder archi... | # Large Language Models Are Built-In Autoregressive Search Engines
## Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
University of Notre Dame
{nziems2, wyu1, zzhang23, mjiang2}@nd.edu
## Abstract
Document retrieval is a key stage of standard Web search engines. Existing dual-encoder dense retrievers obtain represe... |
zhu-etal-2023-beyond | Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation | https://aclanthology.org/2023.findings-acl.168 | Multimodal machine translation (MMT) aims to improve translation quality by incorporating information from other modalities, such as vision. Previous MMT systems focus on better access and use of visual information and tend to validate their methods on image-related datasets. However, these studies face two challenges.... | # Beyond Triplet: Leveraging The Most Data For Multimodal Machine Translation
Yaoming Zhu, Zewei Sun, Shanbo Cheng, Luyang Huang, Liwei Wu, Mingxuan Wang ByteDance
{zhuyaoming,sunzewei.v,chengshanbo}@bytedance.com
{huangluyang,wuliwei.000,wangmingxuan.89}@bytedance.com
## Abstract
Recent work has questioned the nece... |
coil-shwartz-2023-chocolate | From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? | https://aclanthology.org/2023.findings-acl.169 | Noun compound interpretation is the task of expressing a noun compound (e.g. chocolate bunny) in a free-text paraphrase that makes the relationship between the constituent nouns explicit (e.g. bunny-shaped chocolate). We propose modifications to the data and evaluation setup of the standard task (Hendrickx et al., 2013... | # From Chocolate Bunny To **Chocolate Crocodile**: Do Language Models Understand Noun Compounds?
Jordan Coil1 **and Vered Shwartz**1,2 1 University of British Columbia 2 Vector Institute for AI
jcoil93@students.cs.ubc.ca, vshwartz@cs.ubc.ca
## Abstract
Noun compound interpretation is the task of expressing a noun co... |
borenstein-etal-2023-measuring | Measuring Intersectional Biases in Historical Documents | https://aclanthology.org/2023.findings-acl.170 | Data-driven analyses of biases in historical texts can help illuminate the origin and development of biases prevailing in modern society. However, digitised historical documents pose a challenge for NLP practitioners as these corpora suffer from errors introduced by optical character recognition (OCR) and are written i... |
## Measuring Intersectional Biases In Historical Documents Warning: This Paper Shows Dataset Samples That Are Racist In Nature Nadav Borenstein∗1 Karolina Stanczak ´∗1 Thea Rolskov2 **Natália Da Silva Perez**3 Natacha Klein Käfer1**Isabelle Augenstein**1
1University of Copenhagen 2Aarhus University 3Erasmus Universit... |
li-etal-2023-incomplete | Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime | https://aclanthology.org/2023.findings-acl.171 | Rewriting incomplete and ambiguous utterances can improve dialogue models{'} understanding of the context and help them generate better results. However, the existing end-to-end models will have the problem of too large search space, resulting in poor quality of rewriting results. We propose a 2-phase rewriting framewo... | # Incomplete Utterance Rewriting By A Two-Phase Locate-And-Fill Regime
Zitong Li1, Jiawei Li2, Haifeng Tang3**, Kenny Q. Zhu**4∗
, Ruolan Yang5 1,2,4Shanghai Jiao Tong University, Shanghai, China 3China Merchants Bank Credit Card Center, Shanghai, China 5University of California, San Diego, US
1AutSky_JadeK@sjtu.edu.c... |
popovic-etal-2023-exploring | Exploring Variation of Results from Different Experimental Conditions | https://aclanthology.org/2023.findings-acl.172 | It might reasonably be expected that running multiple experiments for the same task using the same data and model would yield very similar results. Recent research has, however, shown this not to be the case for many NLP experiments. In this paper, we report extensive coordinated work by two NLP groups to run the train... | # Exploring Variation Of Results From Different Experimental Conditions
Maja Popovic,´
1 Mohammad Arvan,2 Natalie Parde,2 **Anya Belz**1 1ADAPT Centre, School of Computing, DCU, Ireland name.surname@adaptcentre.ie 2Department of Computer Science, University of Illinois Chicago
{marvan3,parde}@uic.edu
## Abstract
It ... |
ocampo-etal-2023-playing | Playing the Part of the Sharp Bully: Generating Adversarial Examples for Implicit Hate Speech Detection | https://aclanthology.org/2023.findings-acl.173 | Research on abusive content detection on social media has primarily focused on explicit forms of hate speech (HS), that are often identifiable by recognizing hateful words and expressions. Messages containing linguistically subtle and implicit forms of hate speech still constitute an open challenge for automatic hate s... | # Playing The Part Of The Sharp Bully: Generating Adversarial Examples For Implicit Hate Speech Detection
Nicolás Benjamín Ocampo1, Elena Cabrio1**, Serena Villata**1 1Université Côte d'Azur, CNRS, Inria, I3S, France
{nicolas-benjamin.ocampo,elena.cabrio,serena.villata}@univ-cotedazur.fr
## Abstract 1 Introduction
R... |
moradshahi-etal-2023-x | {X}-{R}i{SAWOZ}: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents | https://aclanthology.org/2023.findings-acl.174 | Task-oriented dialogue research has mainly focused on a few popular languages like English and Chinese, due to the high dataset creation cost for a new language. To reduce the cost, we apply manual editing to automatically translated data. We create a new multilingual benchmark, X-RiSAWOZ, by translating the Chinese Ri... | # X-Risawoz: High-Quality End-To-End Multilingual Dialogue Datasets And Few-Shot Agents
♣Mehrad Moradshahi1 ♣Tianhao Shen2 Kalika Bali3 **Monojit Choudhury**3 Gaël de Chalendar4 Anmol Goel5 Sungkyun Kim6 **Prashant Kodali**5 Ponnurangam Kumaraguru5 Nasredine Semmar4 Sina J. Semnani1 **Jiwon Seo**6 Vivek Seshadri3,7 Ma... |
meyer-buys-2023-subword | Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation | https://aclanthology.org/2023.findings-acl.175 | Subword segmenters like BPE operate as a preprocessing step in neural machine translation and other (conditional) language models. They are applied to datasets before training, so translation or text generation quality relies on the quality of segmentations. We propose a departure from this paradigm, called subword seg... |
## Subword Segmental Machine Translation: Unifying Segmentation And Target Sentence Generation Francois Meyer And Jan Buys
Department of Computer Science University of Cape Town MYRFRA008@myuct.ac.za, jbuys@cs.uct.ac.za
## Abstract
Subword segmenters like BPE operate as a preprocessing step in neural machine transl... |
datta-etal-2023-measuring | Measuring and Mitigating Local Instability in Deep Neural Networks | https://aclanthology.org/2023.findings-acl.176 | Deep Neural Networks (DNNs) are becoming integral components of real world services relied upon by millions of users. Unfortunately, architects of these systems can find it difficult to ensure reliable performance as irrelevant details like random initialization can unexpectedly change the outputs of a trained system w... | # Measuring And Mitigating Local Instability In Deep Neural Networks
Arghya Datta†and **Subhrangshu Nandi**†and **Jingcheng Xu**†∗and **Greg Ver Steeg**
and **He Xie** and **Anoop Kumar** and **Aram Galstyan**
Amazon Alexa Seattle, WA, USA
{argdatta, subhrn, gssteeg, hexie, anooamzn, argalsty} @amazon.com
{xjc}@stat.w... |
zhu-etal-2023-knowledge | What Knowledge Is Needed? Towards Explainable Memory for k{NN}-{MT} Domain Adaptation | https://aclanthology.org/2023.findings-acl.177 | kNN-MT presents a new paradigm for domain adaptation by building an external datastore, which usually saves all target language token occurrences in the parallel corpus. As a result, the constructed datastore is usually large and possibly redundant. In this paper, we investigate the interpretability issue of this appro... |
## What Knowledge Is Needed? Towards Explainable Memory For K**Nn-Mt** Domain Adaptation
Wenhao Zhu1,2, Shujian Huang1,2, Yunzhe Lv1,2, Xin Zheng1,2**, Jiajun Chen**1,2 1 National Key Laboratory for Novel Software Technology, Nanjing University, China 2 Collaborative Innovation Center of Novel Software Technology and... |
xu-etal-2023-measuring | Measuring Your {ASTE} Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction | https://aclanthology.org/2023.findings-acl.178 | Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, hindering the advancement of research in this area. In this paper, we introduce a new dataset, named DMASTE, which is manually annotated to b... | # Measuring Your Aste Models In The Wild: A Diversified Multi-Domain Dataset For Aspect Sentiment Triplet Extraction Electronics
Ting Xu♠ , Huiyun Yang♣, Zhen Wu♠ , Jiaze Chen♣, Fei Zhao♠, Xinyu Dai♠
♠National Key Laboratory for Novel Software Technology, Nanjing University
♣ByteDance
{xut, zhaof}@smail.nju.edu.cn, {w... |
omarov-kondrak-2023-grounding | Grounding the Lexical Substitution Task in Entailment | https://aclanthology.org/2023.findings-acl.179 | Existing definitions of lexical substitutes are often vague or inconsistent with the gold annotations. We propose a new definition which is grounded in the relation of entailment; namely, that the sentence that results from the substitution should be in the relation of mutual entailment with the original sentence. We a... | # Grounding The Lexical Substitution Task In Entailment
Talgat Omarov and **Grzegorz Kondrak**
Alberta Machine Intelligence Institute Department of Computing Science University of Alberta, Edmonton, Canada
{omarov,gkondrak}@ualberta.ca
## Abstract
Existing definitions of lexical substitutes are often vague or incons... |
xin-etal-2023-operator | Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers | https://aclanthology.org/2023.findings-acl.180 | There exists a wide variety of efficiency methods for natural language processing (NLP) tasks, such as pruning, distillation, dynamic inference, quantization, etc. From a different perspective, we can consider an efficiency method as an operator applied on a model. Naturally, we may construct a pipeline of operators, i... | # Operator Selection And Ordering In A Pipeline Approach To Efficiency Optimizations For Transformers
Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, and **Jimmy Lin**
David R. Cheriton School of Computer Science University of Waterloo
{ji.xin,r33tang,zhiying.jiang,yaoliang.yu,jimmylin}@uwaterloo.ca
## Abstract
Th... |
alghamdi-etal-2023-aramus | {A}ra{MUS}: Pushing the Limits of Data and Model Scale for {A}rabic Natural Language Processing | https://aclanthology.org/2023.findings-acl.181 | Developing monolingual large Pre-trained Language Models (PLMs) is shown to be very successful in handling different tasks in Natural Language Processing (NLP). In this work, we present AraMUS, the largest Arabic PLM with 11B parameters trained on 529GB of high-quality Arabic textual data. AraMUS achieves state-of-the-... | # Aramus: Pushing The Limits Of Data And Model Scale For Arabic Natural Language Processing
Asaad Alghamdi1,∗ Xinyu Duan2,∗ Wei Jiang2 Zhenhai Wang2 **Yimeng Wu**3 Qingrong Xia2 Zhefeng Wang2 Yi Zheng2 Mehdi Rezagholizadeh3 **Baoxing Huai**2 Peilun Cheng1 **Abbas Ghaddar**3 1 AI Cognitive Team, Tonomus 2 Huawei Cloud ... |
white-etal-2023-leveraging | Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction | https://aclanthology.org/2023.findings-acl.182 | Task-oriented dialogues often require agents to enact complex, multi-step procedures in order to meet user requests. While large language models have found success automating these dialogues in constrained environments, their widespread deployment is limited by the substantial quantities of task-specific data required ... | # Leveraging Explicit Procedural Instructions For Data-Efficient Action Prediction
Julia White and **Arushi Raghuvanshi** and **Yada Pruksachatkun**
Infinitus Systems, Inc.
{julia.white,arushi,yada.pruksachatkun}@infinitus.ai
## Abstract
Task-oriented dialogues often require agents to enact complex, multi-step proc... |
kambhatla-etal-2023-quantifying | Quantifying Train-Evaluation Overlap with Nearest Neighbors | https://aclanthology.org/2023.findings-acl.183 | Characterizing benchmark datasets is crucial to interpreting model performance. In this work, we study train-evaluation overlap as a measure of an individual dataset{'}s adequacy to evaluate model generalization over a wide range of datasets. We quantify the overlap with a simple novel metric based on a nearest neighbo... | # Quantifying Train-Evaluation Overlap With Nearest Neighbors
Gauri Kambhatla Thuy Nguyen Eunsol Choi The University of Texas at Austin
{gkambhat, eunsol}@utexas.edu n.haithuy1999@gmail.com
## Abstract
Characterizing benchmark datasets is crucial to interpreting model performance. In this work, we study train-evalua... |
weinstein-goldberg-2023-unsupervised | Unsupervised Mapping of Arguments of Deverbal Nouns to Their Corresponding Verbal Labels | https://aclanthology.org/2023.findings-acl.184 | Deverbal nouns are nominal forms of verbs commonly used in written English texts to describe events or actions, as well as their arguments. However, many NLP systems, and in particular pattern-based ones, neglect to handle such nominalized constructions. The solutions that do exist for handling arguments of nominalized... | # Unsupervised Mapping Of Arguments Of Deverbal Nouns To Their Corresponding Verbal Labels
Aviv Weinstein Department of Computer Science Bar-Ilan University aviv.wn@gmail.com
## Abstract
Deverbal nouns are nominal forms of verbs commonly used in written English texts to describe events or actions, as well as their a... |
winata-etal-2023-decades | The Decades Progress on Code-Switching Research in {NLP}: A Systematic Survey on Trends and Challenges | https://aclanthology.org/2023.findings-acl.185 | Code-Switching, a common phenomenon in written text and conversation, has been studied over decades by the natural language processing (NLP) research community. Initially, code-switching is intensively explored by leveraging linguistic theories and, currently, more machine-learning oriented approaches to develop models... | # The Decades Progress On Code-Switching Research In Nlp: A Systematic Survey On Trends And Challenges
Genta Indra Winata1, Alham Fikri Aji2, Zheng-Xin Yong3**, Thamar Solorio**1 ∗
1Bloomberg 2MBZUAI 3Brown University gwinata@bloomberg.net, alham.fikri@mbzuai.ac.ae, contact.yong@brown.edu
## Abstract
![0_Image_0.Png... |
zhou-etal-2023-learning | Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description | https://aclanthology.org/2023.findings-acl.186 | Personalizing dialogue agents is important for dialogue systems to generate more specific,consistent, and engaging responses. However, most current dialogue personalization approaches rely on explicit persona descriptions during inference, which severely restricts its application. In this paper, we propose a novel appr... | # Learning To Predict Persona Information For Dialogue Personalization Without Explicit Persona Description
Wangchunshu Zhou∗ † Qifei Li∗ **Chenle Li**
Beihang University, Beijing, China zhouwangchunshu@buaa.edu.cn
## Abstract
Personalizing dialogue agents is important for dialogue systems to generate more specific,... |
barale-etal-2023-automated | Automated Refugee Case Analysis: A {NLP} Pipeline for Supporting Legal Practitioners | https://aclanthology.org/2023.findings-acl.187 | In this paper, we introduce an end-to-end pipeline for retrieving, processing, and extracting targeted information from legal cases. We investigate an under-studied legal domain with a case study on refugee law Canada. Searching case law for past similar cases is a key part of legal work for both lawyers and judges, th... | # Automated Refugee Case Analysis: An Nlp Pipeline For Supporting Legal Practitioners
Claire Barale and **Michael Rovatsos**
School of Informatics The University of Edinburgh
{claire.barale,michael.rovatsos}@ed.ac.uk Nehal Bhuta School of Law The University of Edinburgh nehal.bhuta@ed.ac.uk
## Abstract
In this paper... |
li-etal-2023-recurrent | Recurrent Attention Networks for Long-text Modeling | https://aclanthology.org/2023.findings-acl.188 | Self-attention-based models have achieved remarkable progress in short-text mining. However, the quadratic computational complexities restrict their application in long text processing. Prior works have adopted the chunking strategy to divide long documents into chunks and stack a self-attention backbone with the recur... | # Recurrent Attention Networks For Long-Text Modeling
Xianming Li1†**, Zongxi Li**2†∗
, Xiaotian Luo1, Haoran Xie3**, Xing Lee**1, Yingbin Zhao1, Fu Lee Wang2**, Qing Li**4 1 Ant Group, Shanghai, China 2 School of Science and Technology, Hong Kong Metropolitan University, Hong Kong SAR
3 Department of Computing and De... |
gaschi-etal-2023-exploring | Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers | https://aclanthology.org/2023.findings-acl.189 | Without any explicit cross-lingual training data, multilingual language models can achieve cross-lingual transfer. One common way to improve this transfer is to perform realignment steps before fine-tuning, i.e., to train the model to build similar representations for pairs of words from translated sentences. But such ... | # Exploring The Relationship Between Alignment And Cross-Lingual Transfer In Multilingual Transformers
Félix Gaschi 1,2, Patricio Cerda 1, Parisa Rastin 2**, Yannick Toussaint** 2 1Posos, 2LORIA
{felix.gaschi,parisa.rastin,yannick.toussaint}@loria.fr patricio@posos.fr
## Abstract
Without any explicit cross-lingual t... |
fan-etal-2023-aerial | Aerial Vision-and-Dialog Navigation | https://aclanthology.org/2023.findings-acl.190 | The ability to converse with humans and follow natural language commands is crucial for intelligent unmanned aerial vehicles (a.k.a. drones). It can relieve people{'}s burden of holding a controller all the time, allow multitasking, and make drone control more accessible for people with disabilities or with their hands... | # Aerial Vision-And-Dialog Navigation
Yue Fan, Winson Chen, Tongzhou Jiang, Chun Zhou, Yi Zhang, Xin Eric Wang University of California, Santa Cruz
{yfan71, wchen157, tojiang, czhou43, yiz, xwang366}@ucsc.edu
## Abstract
The ability to converse with humans and follow natural language commands is crucial for intellig... |
zhang-etal-2023-improved | Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming | https://aclanthology.org/2023.findings-acl.191 | Pre-trained large language models (LMs) struggle to perform logical reasoning reliably despite advances in scale and compositionality. In this work, we tackle this challenge through the lens of symbolic programming. We propose DSR-LM, a Differentiable Symbolic Reasoning framework where pre-trained LMs govern the percep... | # Improved Logical Reasoning Of Language Models Via Differentiable Symbolic Programming
Hanlin Zhang1,∗ Jiani Huang2,∗ Ziyang Li2 Mayur Naik2 **Eric Xing**1,3,4 1Carnegie Mellon University, 2University of Pennsylvania, 3Mohamed Bin Zayed University of Artificial Intelligence, 4Petuum Inc.
## Abstract
Pre-trained lar... |
takase-etal-2023-b2t | {B}2{T} Connection: Serving Stability and Performance in Deep Transformers | https://aclanthology.org/2023.findings-acl.192 | In the perspective of a layer normalization (LN) position, the architecture of Transformers can be categorized into two types: Post-LN and Pre-LN.Recent Transformers prefer to select Pre-LN because the training in Post-LN with deep Transformers, e.g., ten or more layers, often becomes unstable, resulting in useless mod... | # B2T Connection: Serving Stability And Performance In Deep Transformers
Sho Takase†∗ Shun Kiyono† Sosuke Kobayashi‡ **Jun Suzuki**‡
†LINE Corporation ‡Tohoku University
{sho.takase, shun.kiyono}@linecorp.com sosk@preferred.jp jun.suzuki@tohoku.ac.jp
## Abstract
From the perspective of the layer normalization
(LN) p... |
litschko-etal-2023-boosting | Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data | https://aclanthology.org/2023.findings-acl.193 | Transferring information retrieval (IR) models from a high-resource language (typically English) to other languages in a zero-shot fashion has become a widely adopted approach. In this work, we show that the effectiveness of zero-shot rankers diminishes when queries and documents are present in different languages. Mot... | # Boosting Zero-Shot Cross-Lingual Retrieval By Training On Artificially Code-Switched Data
Robert Litschko Ekaterina Artemova Barbara Plank MaiNLP, Center for Information and Language Processing (CIS), LMU Munich, Germany
{robert.litschko, ekaterina.artemova, b.plank}@lmu.de
## Abstract
Transferring information ret... |
ma-etal-2023-domain | Domain-specific Attention with Distributional Signatures for Multi-Domain End-to-end Task-Oriented Dialogue | https://aclanthology.org/2023.findings-acl.194 | The end-to-end task-oriented dialogue system has achieved great success in recent years. Most of these dialogue systems need to accommodate multi-domain dialogue in real-world scenarios. However, due to the high cost of dialogue data annotation and the scarcity of labeled dialogue data, existing methods are difficult t... | # Domain-Specific Attention With Distributional Signatures For Multi-Domain End-To-End Task-Oriented Dialogue
Xing Ma1, Peng Zhang1⇤**, Feifei Zhao**2 1*College of Intelligence and Computing, Tianjin University, Tianjin, China* 2*Beijing Wenge Technology Co.,Ltd, Beijing, China*
{machine981, pzhang}@tju.edu.cn feifei.... |
lei-etal-2023-ckdst | {CKDST}: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation | https://aclanthology.org/2023.findings-acl.195 | Distilling knowledge from a high-resource task, e.g., machine translation, is an effective way to alleviate the data scarcity problem of end-to-end speech translation. However, previous works simply use the classical knowledge distillation that does not allow for adequate transfer of knowledge from machine translation.... |
## Ckdst: Comprehensively And Effectively Distill Knowledge From Machine Translation To End-To-End Speech Translation Yikun Lei1, Zhengshan Xue1, Haoran Sun1, Xiaohu Zhao1**, Shaolin Zhu**1 Xiaodong Lin3, Deyi Xiong1,2∗
1 College of Intelligence and Computing, Tianjin University, Tianjin, China 2 School of Computer S... |
wein-etal-2023-follow | Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance | https://aclanthology.org/2023.findings-acl.196 | Among the problems with leaderboard culture in NLP has been the widespread lack of confidence estimation in reported results. In this work, we present a framework and simulator for estimating p-values for comparisons between the results of two systems, in order to understand the confidence that one is actually better (... | # Follow The Leader(Board) With Confidence: Estimating P**-Values From A Single Test Set With Item And Response Variance**
Shira Wein Georgetown Univ.∗
sw1158@georgetown.edu Christopher M. Homan Rochester Inst. Tech.
cmhvcs@rit.edu Lora Aroyo and **Chris Welty**
Google Research
{l.m.aroyo,cawelty}@gmail.com
## Abstr... |
tang-hardmeier-2023-parallel | Parallel Data Helps Neural Entity Coreference Resolution | https://aclanthology.org/2023.findings-acl.197 | Coreference resolution is the task of finding expressions that refer to the same entity in a text. Coreference models are generally trained on monolingual annotated data but annotating coreference is expensive and challenging. Hardmeier et al. (2013) have shown that parallel data contains latent anaphoric knowledge, bu... | # Parallel Data Helps Neural Entity Coreference Resolution
Gongbo Tang Beijing Language and Culture University gongbo.tang@blcu.edu.cn Christian Hardmeier IT University of Copenhagen Uppsala University chrha@itu.dk
## Abstract
Coreference resolution is the task of finding expressions that refer to the same entity in... |
wen-etal-2023-towards | Towards Open-Domain {T}witter User Profile Inference | https://aclanthology.org/2023.findings-acl.198 | Twitter user profile inference utilizes information from Twitter to predict user attributes (e.g., occupation, location), which is controversial because of its usefulness for downstream applications and its potential to reveal users{'} privacy. Therefore, it is important for researchers to determine the extent of profi... | # Towards Open-Domain Twitter User Profile Inference
Haoyang Wen∗†, Zhenxin Xiao∗†, Eduard H. Hovy†‡**, Alexander G. Hauptmann**†
†Language Technologies Institute, Carnegie Mellon University
‡School of Computing and Information Systems, The University of Melbourne
{hwen3, zhenxinx, hovy, alex}@cs.cmu.edu
## Abstract
... |
zhuang-riloff-2023-eliciting | Eliciting Affective Events from Language Models by Multiple View Co-prompting | https://aclanthology.org/2023.findings-acl.199 | Prior research on affective event classification showed that exploiting weakly labeled data for training can improve model performance. In this work, we propose a simpler and more effective approach for generating training data by automatically acquiring and labeling affective events with Multiple View Co-prompting, wh... | # Eliciting Affective Events From Language Models By Multiple View Co-Prompting
Yuan Zhuang and **Ellen Riloff**
Kahlert School of Computing University of Utah Salt Lake City, UT 84112
{yyzhuang, riloff}@cs.utah.edu
## Abstract
Prior research on affective event classification showed that exploiting weakly labeled da... |
guo-etal-2023-zeroae | {Z}ero{AE}: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification | https://aclanthology.org/2023.findings-acl.200 | Many text classification tasks require handling unseen domains with plenty of unlabeled data, thus giving rise to the self-adaption or the so-called transductive zero-shot learning (TZSL) problem. However, current methods based solely on encoders or decoders overlook the possibility that these two modules may promote e... | # Zeroae: Pre-Trained Language Model Based Autoencoder For Transductive Zero-Shot Text Classification
Kaihao Guo1,2∗, Hang Yu1∗, Cong Liao1, Jianguo Li1†**, Haipeng Zhang**2†
1Ant Group, China 2School of Information Science and Technology, ShanghaiTech University, China
{guokh,zhanghp}@shanghaitech.edu.cn
{hyu.hugo, l... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.