en_tei2go

hugosousa/en_tei2go

en_tei2go is a token classification model from hugosousa. Use it when you need labels on individual words, such as names. It is set up for spacy.

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Hugging Face

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At a glance

Task: Token Classification
Library: spacy
Access: Public
Created: Mar 17, 2025
Updated: Mar 17, 2025
SHA: 3ae942c7

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Model card

From the Hugging Face model README

Feature	Description
Name	`en_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

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:

@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}
}

Task: Token Classification
Library: spacy
Languages: en
Created: Mar 17, 2025
Updated: Mar 17, 2025