Combining generative and discriminative model scores for distant supervision

EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2013, Pages 24-29

  Roth, Benjamin ^a   Klakow, Dietrich ^a  

^a SAARLAND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; KNOWLEDGE BASED SYSTEMS;

DISCRIMINATIVE MODELS; HIERARCHICAL TOPIC MODELS; KNOWLEDGE BASE; LINEAR INTERPOLATION; NON-DOMINATED SORTING; RELATION EXTRACTION; STATE OF THE ART; TRAINING DATA;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84926291462     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Enrique Alfonseca, Katja Filippova, Jean-Yves Delort, and Guillermo Garrido. 2012. Pattern learning for relation extraction with a hierarchical topic model. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short PapersVolume 2, pages 54-59. Association for Computational Linguistics.
2. S Borzsony, Donald Kossmann, and Konrad Stocker. 2001. The skyline operator. In Data Engineering, 2001. Proceedings. 17th International Conference on, pages 421-430. IEEE.
3. Kevin Duh, Katsuhito Sudoh, Xianchao Wu, Hajime Tsukada, and Masaaki Nagata. 2012. Learning to translate with multiple objectives. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers-Volume 1, pages 1-10. Association for Computational Linguistics.
4. Parke Godfrey, Ryan Shipley, and Jarek Gryz. 2007. Algorithms and analyses for maximal vector computation. The VLDB JournalThe International Journal on Very Large Data Bases, 16(1):5-28.
5. Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S Weld. 2011. Knowledge-based weak supervision for information extraction of overlapping relations. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, volume 1, pages 541-550.
6. Heng Ji, Ralph Grishman, Hoa Trang Dang, Kira Griffitt, and Joe Ellis. 2010. Overview of the tac 2010 knowledge base population track. In Third Text Analysis Conference (TAC 2010).
7. Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2-Volume 2, pages 1003-1011. Association for Computational Linguistics.
8. Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010. Modeling relations and their mentions without labeled text. In Machine Learning and Knowledge Discovery in Databases, pages 148-163. Springer.
9. Benjamin Roth and Dietrich Klakow. 2013. Feature-based models for improving the quality of noisy training data for relation extraction. In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM). ACM.
10. Benjamin Roth, Grzegorz Chrupala, Michael Wiegand, Mittul Singh, and Dietrich Klakow. 2012. Generalizing from freebase and patterns using distant supervision for slot filling. In Proceedings of the Text Analysis Conference (TAC).
11. Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D Manning. 2012. Multi-instance multilabel learning for relation extraction. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 455-465. Association for Computational Linguistics.
12. Shingo Takamatsu, Issei Sato, and Hiroshi Nakagawa. 2012. Reducing wrong labels in distant supervision for relation extraction. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1, ACL '12, pages 721-729, Stroudsburg, PA, USA. Association for Computational Linguistics.
13. Limin Yao, Sebastian Riedel, and Andrew McCallum. 2010. Collective cross-document relation extraction without labelled data. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 1013-1023. Association for Computational Linguistics.