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---
tags:
- spacy
- token-classification
language:
- es
model-index:
- name: es_tei2go
results: []
license: mit
widget:
- text: "Arabia Saudí adelantará a los próximos meses la retirada de sus tropas de la frontera con Yemen."
---
# Temporal Expression Identification to Go
[](https://dl.acm.org/doi/10.1145/3583780.3615130)
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
<details>
<summary>View label scheme (1 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `TIMEX` |
</details>
## Cite
If you use this work, please cite the following [paper](https://dl.acm.org/doi/10.1145/3583780.3615130):
```bibtex
@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}
}
``` |