TEI2GO
Collection
Fast temporal expression tagger • 6 items • Updated
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()| 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 |
| 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}
}