Çarık, Buse and Beyhan, Fatih and Yeniterzi, Reyyan (2022) SU-NLP at SemEval-2022 Task 11: complex named entity recognition with entity linking. In: 16th International Workshop on Semantic Evaluation, SemEval 2022, Seattle, WA, USA
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This paper describes the system proposed by Sabanci University Natural Language Processing Group in the SemEval-2022 MultiCoNER task. We developed an unsupervised entity linking pipeline that detects potential entity mentions with the help of Wikipedia and also uses the corresponding Wikipedia context to help the classifier in finding the named entity type of that mention. The proposed pipeline significantly improved the performance, especially for complex entities in low-context settings.
| Item Type: | Papers in Conference Proceedings |
|---|---|
| Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng. Faculty of Engineering and Natural Sciences |
| Depositing User: | Reyyan Yeniterzi |
| Date Deposited: | 22 Mar 2023 15:21 |
| Last Modified: | 22 Mar 2023 15:21 |
| URI: | https://research.sabanciuniv.edu/id/eprint/45083 |
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