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https://github.com/katzurik/NERetrieve
https://github.com/katzurik/NERetrieve
Last synced: 8 days ago
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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
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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])