Enhanced Named Entity Recognition through Joint Dependency Parsing-Reference-Cited by-同舟云学术

Enhanced Named Entity Recognition through Joint Dependency Parsing

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Wang Peng¹,Wang Zhe²,Zhang Xiaowang¹,Wang Kewen²,Feng Zhiyong¹

Affiliation:

1. College of Intelligence and Computing, Tianjin University,China

2. School of Information and Communication Technology, Griffith University,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191834.pdf?arnumber=10191834

Reference34 articles.

1. Conll-2012 shared task: Modeling multilingual unrestricted coreference in ontonotes;pradhan;Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning - Proceedings of the Shared Task Modeling Multilingual Unrestricted Coreference in OntoNotes EMNLP-CoNLL 2012,2012

2. PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing

3. Introduction to the conll-2003 shared task: Language-independent named entity recognition;sang;Proceedings of the Seventh Conference on Natural Language Learning CoNLL 2003 Held in cooperation with HLT-NAACL 2003,2003

4. Semeval-2010 task 1: Coreference resolution in multiple languages;recasens;Proceedings of the 5th International Workshop on Semantic Evaluation SemEval ACL 2010,2010

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