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---
tags:
- spacy
- token-classification
language:
- it
model-index:
- name: it_tei2go
  results: []
license: mit
widget:
- text: "A Parma dal primo semestre 2015 al primo semestre di quest'anno l'aumento delle frodi è stato pari al 152%"
---


# 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. 

> If you are having problems with pip install try: `pip install "it_tei2go @ https://huggingface.co/hugosousa/it_tei2go/resolve/main/it_tei2go-any-py3-none-any.whl"`

| Feature | Description                             |
| --- |-----------------------------------------|
| **Name** | `it_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}
}
```