Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking

Author:

Dong Hang1ORCID,Chen Jiaoyan2ORCID,He Yuan1ORCID,Liu Yinan3ORCID,Horrocks Ian1ORCID

Affiliation:

1. University of Oxford, Oxford, United Kingdom

2. The University of Manchester & University of Oxford, Manchester, United Kingdom

3. Nankai University, Tianjing, China

Funder

Sansumg Research UK

Engineering and Physical Sciences Research Council

Publisher

ACM

Reference49 articles.

1. Dhruv Agarwal , Rico Angell , Nicholas Monath , and Andrew McCallum . 2021. Entity Linking and Discovery via Arborescence-based Supervised Clustering. CoRR , Vol. abs/ 2109 .01242 ( 2021 ), 1--12. showeprint[arXiv]2109.01242 https://arxiv.org/abs/2109.01242 Dhruv Agarwal, Rico Angell, Nicholas Monath, and Andrew McCallum. 2021. Entity Linking and Discovery via Arborescence-based Supervised Clustering. CoRR, Vol. abs/2109.01242 (2021), 1--12. showeprint[arXiv]2109.01242 https://arxiv.org/abs/2109.01242

2. Tom Ayoola , Shubhi Tyagi , Joseph Fisher , Christos Christodoulopoulos , and Andrea Pierleoni . 2022. ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking . In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track. Association for Computational Linguistics , Hybrid : Seattle, Washington Online, 209--220. https://doi.org/10. 1865 3/v1/2022.naacl-industry.24 10.18653/v1 Tom Ayoola, Shubhi Tyagi, Joseph Fisher, Christos Christodoulopoulos, and Andrea Pierleoni. 2022. ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track. Association for Computational Linguistics, Hybrid: Seattle, Washington Online, 209--220. https://doi.org/10.18653/v1/2022.naacl-industry.24

3. COMETA: A Corpus for Medical Entity Linking in the Social Media

4. Rajarshi Bhowmik , Karl Stratos , and Gerard de Melo . 2021 . Fast and Effective Biomedical Entity Linking Using a Dual Encoder . In Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis. Association for Computational Linguistics, online, 28--37 . https://aclanthology.org/2021.louhi-1.4 Rajarshi Bhowmik, Karl Stratos, and Gerard de Melo. 2021. Fast and Effective Biomedical Entity Linking Using a Dual Encoder. In Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis. Association for Computational Linguistics, online, 28--37. https://aclanthology.org/2021.louhi-1.4

5. The Unified Medical Language System (UMLS): integrating biomedical terminology

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