Collective cross-document relation extraction without labelled data

EMNLP 2010 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2010, Pages 1013-1023

  Yao, Limin ^a   Riedel, Sebastian ^a   McCallum, Andrew ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENTITY IDENTIFICATION; FACTOR GRAPHS; GIBBS SAMPLERS; JOINT MODELS; KNOWLEDGE BASE; LINEAR TIME; LOCAL APPROACHES; NEW YORK TIME; RELATION EXTRACTION; WIKIPEDIA;

COMPUTATIONAL LINGUISTICS; KNOWLEDGE BASED SYSTEMS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80052662958     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008. Freebase: a collaboratively created graph database for structuring human knowledge. In SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data, pages 1247-1250, New York, NY, USA. ACM.
2. Razvan C. Bunescu and Raymond J. Mooney. 2007. Learning to extract relations from the web using minimal supervision. In Proceedings of the 45rd Annual Meeting of the Association for Computational Linguistics (ACL '07).
3. Andrew Carlson, Justin Betteridge, Richard Wang, Es-tevam Hruschka, and Tom Mitchell. 2010. Coupled semi-supervised learning for information extraction. In Third ACM International Conference on Web Search and Data Mining (WSDM '10).
4. Michael Collins. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of the Conference on Empirical methods in natural language processing (EMNLP '02), volume 10, pages 1-8.
5. Koby Crammer and Yoram Singer. 2003. Ultraconservative online algorithms for multiclass problems. Journal of Machine Learning Research, 3:951-991.
6. M. Craven and J. Kumlien. 1999. Constructing biological knowledge-bases by extracting information from text sources. In Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology, pages 77-86, Germany.
7. Aron Culotta and Jeffery Sorensen. 2004. Dependency tree kernels for relation extraction. In 42nd Annual Meeting of the Association for Computational Linguistics, Barcelona, Spain.
8. Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL '05), pages 363-370, June.
9. S. Geman and D. Geman. 1990. Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. pages 452-472.
10. Raphael Hoffmann, Congle Zhang, and Daniel S. Weld. 2010. Learning 5000 relational extractors. In ACL.
11. Rohit J. Kate and Raymond J. Mooney. 2010. Joint entity and relation extraction using card-pyramid parsing. In Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL' 10).
12. John D. Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In International Conference on Machine Learning (ICML).
13. Andrew McCallum, Karl Schultz, and Sameer Singh. 2009. Factorie: Probabilistic programming via imperatively defined factor graphs. In Y. Bengio, D. Schuur-mans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 1249-1257.
14. Mike Mintz, Steven Bills, Rion Snow, and Daniel Juraf-sky. 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 (ACL '09), pages 1003-1011. Association for Computational Linguistics.
15. J. Nivre, J. Hall, and J. Nilsson. 2004. Memory-based dependency parsing. In Proceedings of CoNLL, pages 49-56.
16. Sebastian Riedel, Hong-Woo Chun, Toshihisa Takagi, and Jun'ichi Tsujii. 2009. A markov logic approach to bio-molecular event extraction. In Proceedings of the Natural Language Processing in Biomedicine NAACL 2009 Workshop (BioNLP '09), pages 41-49.
17. Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010. Modeling relations and their mentions without labeled text. In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD '10).
18. D. Roth and W. Yih. 2007. Global inference for entity and relation identification via a linear programming formulation. In Lise Getoor and Ben Taskar, editors, Introduction to Statistical Relational Learning. MIT Press.
19. Evan Sandhaus, 2008. The New York Times Annotated Corpus. Linguistic Data Consortium, Philadelphia.
20. Stefan Schoenmackers, Oren Etzioni, and Daniel S. Weld. 2008. Scaling textual inference to the web. In EMNLP '08: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 79-88, Morristown, NJ, USA. Association for Computational Linguistics.
21. Sameer Singh, Karl Schultz, and Andrew McCallum. 2009. Bi-directional joint inference for entity resolution and segmentation using imperatively-defined factor graphs. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pages 414-429.
22. Daniel S. Weld, Raphael Hoffmann, and Fei Wu. 2009. Using wikipedia to bootstrap open information extraction. In ACM SIGMOD Record.
23. Michael Wick, Khashayar Rohanimanesh, Aron Culotta, and Andrew McCallum. 2009. Samplerank: Learning preferences from atomic gradients. In Neural Information Processing Systems (NIPS), Workshop on Advances in Ranking.
24. Dimitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003. Kernel methods for relation extraction. JMLR, 3(6):1083 - 1106.