--- 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 [![Paper](https://img.shields.io/badge/Paper-557C55)](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
View label scheme (1 labels for 1 components) | Component | Labels | | --- | --- | | **`ner`** | `TIMEX` |
## 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} } ```