by Pengfei Liu, Jinlan Fu and other contributors.
An elaborate and exhaustive paper list for Named Entity Recognition (NER), covering papers from seven top conferences (ACL / EMNLP / NAACL / Coling / ICLR / AAAI / IJCAI) and eight years (2013-2020).
- Get to know Potential Research Concepts 🔽 of recent NER work
- A fancy Paper Viewing System [Click Me !!!] 🔽, in which you can:
- Find the top-cited NER-papers, which are generally worth reading!! [The latest update on: 01.05/2020]
- Find the latest NER-papers, which reflect the trend of development!
- Searching papers with keywords that you're interested in
- Knowing which papers are covered by a given research point
- Mainstream NER Datasets 🔽
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- Update the file
ner_concept.md
andPull requests
- Or you could directly propose an
Issues
- Update the file
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- Add your paper (If possible, with annotated concepts) into
paper_with_concept
andPull requests
- Or you could directly propose an
Issues
- Add your paper (If possible, with annotated concepts) into
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- Add your dataset (If possible, with brief description) into
ner_data
andPull requests
- Or you could directly propose an
Issues
- Add your dataset (If possible, with brief description) into
- This project is a by-product of this work
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
, whose recognition by this community motivates us a lot to set up such a summary. - Thanks Graham Neubig's idea on the "concept" and other comments.
- Thanks for Prof. Yue Zhang, Zhenghua Li, Nanyun Peng 's comments.
- Thanks for Zihan Wang's suggestion and the contribution of CoNLL++ dataset.
- Thanks for Stephen Mayhew,Juruo Yao's comments.