Temporal Expression Identification to Go
Temporal Expression Identification to Go (TEI2GO) is an approach for fast and effective identification of temporal expressions.
Feature | Description |
---|---|
Name | es_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}
}
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.