metadata
tags:
- spacy
- token-classification
language:
- pt
model-index:
- name: pt_tei2go
results: []
license: mit
widget:
- text: Há um ano, o lucro líquido foi de 2,1 milhões de dólares.
Temporal Expression Identification to Go
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 pt_tei2go @ https://huggingface.co/hugosousa/pt_tei2go/resolve/main/pt_tei2go-any-py3-none-any.whl"
| Feature | Description |
|---|---|
| Name | pt_tei2go |
| spaCy | >=3.2.4,<3.3.0 |
| Default Pipeline | ner |
| Components | ner |
| License | MIT |
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}
}