Instructions to use hugosousa/es_tei2go with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use hugosousa/es_tei2go with spaCy:
!pip install https://huggingface.co/hugosousa/es_tei2go/resolve/main/es_tei2go-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_tei2go") # Importing as module. import es_tei2go nlp = es_tei2go.load() - Notebooks
- Google Colab
- Kaggle
|
Download README.md from hugosousa/es_tei2go: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/hugosousa/es_tei2go/resolve/main/README.md
- Command line
-
hf download hf://hugosousa/es_tei2go/README.md
-
curl -L -o README.md https://huggingface.co/hugosousa/es_tei2go/resolve/main/README.md
1.38 kB
metadata
tags:
- spacy
- token-classification
language:
- es
| Feature | Description |
|---|---|
| Name | es_tei2go |
| Version | 0.0.0 |
| spaCy | >=3.2.6,<3.3.0 |
| Default Pipeline | ner |
| Components | ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
TIMEX |
Cite
If you use this work, please cite the following paper:
@inproceedings{10.1145/3583780.3615130,
author = {Sousa, Hugo and Campos, Ricardo and Jorge, Al\'{\i}pio},
title = {TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification},
year = {2023},
isbn = {9798400701245},
publisher = {Association for Computing Machinery},
url = {https://doi.org/10.1145/3583780.3615130},
doi = {10.1145/3583780.3615130},
booktitle = {Proceedings of the 32nd ACM International Conference on Information and Knowledge Management},
pages = {5401–5406},
numpages = {6},
keywords = {temporal expression identification, multilingual corpus, weak label},
location = {Birmingham, United Kingdom},
series = {CIKM '23}
}