https://github.com/katzurik/NERetrieve

https://github.com/katzurik/NERetrieve

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• Host: GitHub
• URL: https://github.com/katzurik/NERetrieve
• Owner: katzurik
• Created: 2023-10-20T10:16:02.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-13T06:41:23.000Z (11 months ago)
• Last Synced: 2024-08-01T15:32:51.177Z (3 months ago)
• Language: Shell
• Size: 240 KB
• Stars: 26
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval

This is the original code and dataset of the NERretrieve paper:  [**NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval**](https://arxiv.org/abs/2310.14282).



\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\* **Updates** \*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*

- 03/12/2023: 🎉🎉🎉 NERetrieve paper was accepted to **Findings of EMNLP 2023** and will be presented during the BlackboxNLP 2023

 poster session.🎉🎉🎉 

## NERetrieve Dataset

NERetrieve dataset is available in three distinct formats, catering to various use cases and research requirements:

1. [**Exhaustive Typed-Entity Mention Retrieval**](/Retrieval/IR_readme.md)

2. [**Fine-grained Supervised NER**](/supervised_NER/sup_readme.md)

3. **Zero-shot Fine-grained NER**

For detailed information including data specifics, code, and results, please refer to the dedicated pages.

## Citation

Please Cite our work using:

```bibtex

@inproceedings{katz-etal-2023-neretrieve,

    title = "{NER}etrieve: Dataset for Next Generation Named Entity Recognition and Retrieval",

    author = "Katz, Uri  and

      Vetzler, Matan  and

      Cohen, Amir  and

      Goldberg, Yoav",

    editor = "Bouamor, Houda  and

      Pino, Juan  and

      Bali, Kalika",

    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",

    month = dec,

    year = "2023",

    address = "Singapore",

    publisher = "Association for Computational Linguistics",

    url = "https://aclanthology.org/2023.findings-emnlp.218",

    pages = "3340--3354",

}

```

## License

The NERetrieve dataset is distributed under the CC BY-SA 4.0 license.

## Connection

Feel free to connect with us on any issue, suggestions or just a friendly conversation. 

[[email protected]](mailto:[email protected])