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hugosousa/it_tei2go
it_tei2go is a token classification model from hugosousa. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as mit.
[](https://dl.acm.org/doi/10.1145/3583780.3615130)
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From the Hugging Face model README
Temporal Expression Identification to Go (TEI2GO) is an approach for fast and effective identification of temporal expressions.
If you are having problems with pip install try:
pip install "it_tei2go @ https://huggingface.co/hugosousa/it_tei2go/resolve/main/it_tei2go-any-py3-none-any.whl"
| Feature | Description |
|---|---|
| Name | it_tei2go |
| spaCy | >=3.2.4,<3.3.0 |
| Default Pipeline | ner |
| Components | ner |
| License | MIT |
| Component | Labels |
|---|---|
ner | TIMEX |
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}
}