A pattern-first pipeline approach for entity and relation extraction

Author:

Chen Zheng,Guo Changyu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

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2. G. Zhou, J. Su, J. Zhang, M. Zhang, Exploring various knowledge in relation extraction, in: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05), Association for Computational Linguistics, Ann Arbor, Michigan, 2005, pp. 427–434. doi:10.3115/1219840.1219893. URL: https://aclanthology.org/P05-1053.

3. Y.S. Chan, D. Roth, Exploiting syntactico-semantic structures for relation extraction, in: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Portland, Oregon, USA, 2011, pp. 551–560. URL: https://aclanthology.org/P11-1056.

4. M. Miwa, Y. Sasaki, Modeling joint entity and relation extraction with table representation, in: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, Doha, Qatar, 2014, pp. 1858–1869. doi:10.3115/v1/D14-1200. URL: https://aclanthology.org/D14-1200.

5. P. Gupta, H. Schütze, B. Andrassy, Table filling multi-task recurrent neural network for joint entity and relation extraction, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, The COLING 2016 Organizing Committee, Osaka, Japan, 2016, pp. 2537–2547. URL: https://aclanthology.org/C16-1239.

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