Joint Inference for End-to-end Relation Extraction

Author:

Pawar Sachin Sharad,Bhattacharyya Pushpak,Palshikar Girish Keshav

Publisher

Springer Nature Singapore

Reference16 articles.

1. Richardson M, Domingos P (2006) Markov logic networks. Mach Learn 62(1–2):107–136

2. Zhou G, Su J, Zhang J, Zhang M (2005) 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, pp 427–434, https://doi.org/10.3115/1219840.1219893, http://www.aclweb.org/anthology/P05-1053

3. Jiang J, Zhai C (2007) A systematic exploration of the feature space for relation extraction. In: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, Association for Computational Linguistics, Rochester, New York, pp 113–120, http://www.aclweb.org/anthology/N/N07/N07-1015

4. Bunescu R, Mooney R (2005) A shortest path dependency kernel for relation extraction. In: Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Vancouver, British Columbia, Canada, pp 724–731, http://www.aclweb.org/anthology/H/H05/H05-1091

5. Qian L, Zhou G, Kong F, Zhu Q, Qian P (2008) Exploiting constituent dependencies for tree kernel-based semantic relation extraction. In: Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), Coling 2008 Organizing Committee, Manchester, UK, pp 697–704, http://www.aclweb.org/anthology/C08-1088

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