Embedding semantic similarity in tree kernels for domain adaptation of relation extraction

ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn 1, Issue , 2013, Pages 1498-1507

  Plank, Barbara ^a   Moschitti, Alessandro ^b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS;

DOMAIN ADAPTATION; EMPIRICAL EVALUATIONS; LATENT SEMANTIC ANALYSIS; RELATION EXTRACTION; SEMANTIC RELATIONSHIPS; SEMANTIC SIMILARITY; SUPERVISED METHODS; WORD CLUSTERING;

EXTRACTION;

EID: 84907345507     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (40)

1. Marco Baroni, Silvia Bernardini, Adriano Ferraresi, and Eros Zanchetta. 2009. The WaCky Wide Web: A Collection of Very Large Linguistically Processed Web-Crawled Corpora. Language Resources and Evaluation, pages 209-226.
2. John Blitzer, Ryan McDonald, and Fernando Pereira. 2006. Domain Adaptation with Structural Correspondence Learning. In Conference on Empirical Methods in Natural Language Processing, Sydney, Australia.
3. Stephan Bloehdorn and Alessandro Moschitti. 2007a. Combined syntactic and semantic kernels for text classification. In ECIR, pages 307-318.
4. Stephan Bloehdorn and Alessandro Moschitti. 2007b. Exploiting Structure and Semantics for Expressive Text Kernels. In Conference on Information Knowledge and Management, Lisbon, Portugal.
5. Peter F. Brown, Peter V. De Souza, Robert L. Mercer, Vincent J. Della Pietra, and Jenifer C. Lai. 1992. Class-Based n-gram Models of Natural Language. Computational Linguistics, 18:467-479.
6. Razvan C. Bunescu. 2007. Learning to extract relations from the web using minimal supervision. In Proceedings of ACL.
7. Yee Seng Chan and Dan Roth. 2010. Exploiting background knowledge for relation extraction. In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pages 152-160, Beijing, China, August. Coling 2010 Organizing Committee.
8. Michael Collins and Nigel Duffy. 2001. Convolution Kernels for Natural Language. In Proceedings of Neural Information Processing Systems (NIPS 2001).
9. Danilo Croce, Alessandro Moschitti, and Roberto Basili. 2011. Semantic convolution kernels over dependency trees: smoothed partial tree kernel. In CIKM, pages 2013-2016.
10. Aron Culotta and Jeffrey Sorensen. 2004. Dependency tree kernels for relation extraction. In Proceedings of the 42nd Annual Meeting on ACL, Barcelona, Spain.
11. Hal Daumé III. 2007. Frustratingly easy domain adaptation. In Proceedings of the 45th Annual Meeting of ACL, pages 256-263, Prague, Czech Republic, June.
12. Mark Dredze, Tim Oates, and Christine Piatko. 2010. We're not in kansas anymore: Detecting domain changes in streams. In Proceedings of EMNLP, pages 585-595, Cambridge, MA.
13. Claudio Giuliano, Alberto Lavelli, and Lorenza Romano. 2007. Relation extraction and the influence of automatic named-entity recognition. ACM Trans. Speech Lang. Process., 5(1):2:1-2:26, December.
14. G. Golub and W. Kahan. 1965. Calculating the singular values and pseudo-inverse of a matrix. Journal of the Society for Industrial and Applied Mathematics: Series B, Numerical Analysis, 2(2): pp. 205-224.
15. Zellig Harris. 1964. Distributional structure. In Jerrold J. Katz and Jerry A. Fodor, editors, The Philosophy of Linguistics. Oxford University Press.
16. Jiayuan Huang, Arthur Gretton, Bernhard Scholkopf, Alexander J. Smola, and Karsten M. Borgwardt. 2007. Correcting sample selection bias by unlabeled data. In In NIPS. MIT Press.
17. Jing Jiang and Chengxiang Zhai. 2007. Instance weighting for domain adaptation in NLP. In In ACL 2007, pages 264-271.
18. Jing Jiang. 2009. Multi-task transfer learning for weakly-supervised relation extraction. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th IJCNLP, pages 1012-1020, Suntec, Singapore.
19. Percy Liang. 2005. Semi-Supervised Learning for Natural Language. Master's thesis, Massachusetts Institute of Technology.
20. Hsuan-Tien Lin, Chih-Jen Lin, and Ruby C. Weng. 2007. A note on platt's probabilistic outputs for support vector machines. Mach. Learn., 68(3):267-276.
21. Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, and Chris Watkins. 2002. Text classification using string kernels. Journal of Machine Learning Research, pages 419-444.
22. Mike Mintz, Steven Bills, Rion Snow, and Daniel Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of ACL-IJCNLP, pages 1003-1011, Suntec, Singapore, August.
23. Alessandro Moschitti. 2004. A study on convolution kernels for shallow semantic parsing. In Proceedings of the 42nd Meeting of the ACL, Barcelona, Spain.
24. Alessandro Moschitti. 2006. Efficient convolution kernels for dependency and constituent syntactic trees. In Proceedings of the 17th ECML, Berlin, Germany.
25. Alessandro Moschitti. 2008. Kernel methods, syntax and semantics for relational text categorization. In CIKM, pages 253-262.
26. Truc-Vien T Nguyen, Alessandro Moschitti, and Giuseppe Riccardi. 2009. Convolution kernels on constituent, dependency and sequential structures for relation extraction. In Proceedings of EMNLP'09, pages 1378-1387, Stroudsburg, PA, USA.
27. J. Nivre, J. Hall, S. Kübler, R. McDonald, J. Nilsson, S. Riedel, and D. Yuret. 2007. The CoNLL 2007 shared task on dependency parsing. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL, pages 915-932.
28. Eric W. Noreen. 1989. Computer-Intensive Methods for Testing Hypotheses: An Introduction. Wiley-Interscience.
29. Slav Petrov and Ryan McDonald. 2012. Overview of the 2012 shared task on parsing the web. Notes of the First Workshop on Syntactic Analysis of Non-Canonical Language (SANCL).
30. John Shawe-Taylor and Nello Cristianini. 2004. Kernel Methods for Pattern Analysis. Cambridge University Press.
31. Anders Søgaard and Martin Haulrich. 2011. Sentence-level instance-weighting for graph-based and transition-based dependency parsing. In Proceedings of the 12th International Conference on Parsing Technologies, IWPT'11, pages 43-47, Stroudsburg, PA, USA.
32. Anders Søgaard and Anders Johannsen. 2012. Robust learning in random subspaces: equipping NLP for OOV effects. In Proceedings of Coling.
33. Ang Sun, Ralph Grishman, and Satoshi Sekine. 2011. Semi-supervised relation extraction with large-scale word clustering. In Proceedings of ACL-HLT, pages 521-529, Portland, Oregon, USA.
34. Mengqiu Wang. 2008. A re-examination of dependency path kernels for relation extraction. In Proceedings of the 3rd International Joint Conference on Natural Language Processing-IJCNLP.
35. Christian Widmer. 2008. Domain adaptation in sequence analysis. Diplomarbeit, University of Tübingen.
36. Feiyu Xu, Hans Uszkoreit, Hond Li, and Niko Felger. 2008. Adaptation of relation extraction rules to new domains. In Proceedings of LREC'08, Marrakech, Morocco.
37. Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2002. Kernel methods for relation extraction. In Proceedings of EMNLP-ACL, pages 181-201.
38. Min Zhang, Jian Su, Danmei Wang, Guodong Zhou, and Chew Lim Tan. 2005. Discovering relations between named entities from a large raw corpus using tree similarity-based clustering. In Proceedings of IJCNLP'2005, pages 378-389, Jeju Island, South Korea.
39. Min Zhang, Jie Zhang, Jian Su, and Guodong Zhou. 2006. A composite kernel to extract relations between entities with both flat and structured features. In Proceedings of COLING-ACL 2006, pages 825-832.
40. GuoDong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005. Exploring various knowledge in relation extraction. In Proceedings of the 43rd Annual Meeting of ACL), pages 427-434, Ann Arbor, Michigan.