Dynamic Named Entity Recognition-Reference-Cited by-同舟云学术

Dynamic Named Entity Recognition

Published:2023-03-27 Issue: Volume: Page:
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Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
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Author:

Luiggi Tristan¹²^ORCID,Guigue Vincent³^ORCID,Soulier Laure⁴⁵^ORCID,Jendoubi Siwar⁶^ORCID,Baelde Aurelien⁶^ORCID

Affiliation:

1. Upskills R&D, France

2. Sorbonne Université, CNRS, ISIR, Paris, F-75005, France

3. Paris-Saclay University, Agroparistech, Saclay, France

4. Sorbonne Université, CNRS, ISIR, Paris, France

5. Université Paris-Saclay, CNRS, LISN, Orsay, 91405, France

6. Upskills R&D, Choisy-le-roi, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3577603

Reference45 articles.

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3. Masayuki Asahara and Yuji Matsumoto. 2003. Japanese Named Entity Extraction with Redundant Morphological Analysis. In HLT-NAACL. Masayuki Asahara and Yuji Matsumoto. 2003. Japanese Named Entity Extraction with Redundant Morphological Analysis. In HLT-NAACL.

4. I Augenstein , L Derczynski , and K Bontcheva . 2017. Generalisation in named entity recognition: A quantitative analysis. Computer Speech & Language ( 2017 ). I Augenstein, L Derczynski, and K Bontcheva. 2017. Generalisation in named entity recognition: A quantitative analysis. Computer Speech & Language (2017).

5. Nils Barlaug and Jon Atle Gulla . 2020. Neural Networks for Entity Matching. CoRR abs/2010.11075 ( 2020 ). Nils Barlaug and Jon Atle Gulla. 2020. Neural Networks for Entity Matching. CoRR abs/2010.11075 (2020).