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Reduplication of Nguyen’s RE 2007 — Related Work

  • July 31, 2010 2:42 pm


Extracting Using Lexical Information:

5. A. Culotta, A. McCallum, and J. Betz. Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text. In Proceedings of the HLT-NAACL-2006, 2006.
6. S. Brin. Extracting Patterns and Relations from the World Wide Web. In Proceedings of the 1998 International Workshop on the Web and Databases, pages 172-183, 1998.
7. E. Agichtein and L. Gravano. Snowball: Extracting Relations from Large Plain-Text Collections.In the 5th ACM International Conference on Digital Libraries (ACM DL), 2000.
8. D. Ravichandran and E. H. Hovy. Learning Surface Text Patterns for a Question Answering System. In Proceedings of the ACL-2002, pages 41-47, 2002.

Extracting Using Hard Matching of dependency Paths

9. R. C. Bunescu and R. J. Mooney. Extracting Relations from Text: From Word Sequences to Dependency Paths. In “Text Mining and Natural Language Processing”, Anne Kao Steve Poteet (eds.), forthcoming book, 2006

  • follow [5] to define the entity
  • three types of principal entities [10]

11. D. Lin. Dependency-Based Evaluation of Minipar. In Proceedings of the Workshop on the Evaluation of Parsing Systems, 1stInternational Conference on Language Resources and Evaluation, 1998.
12. J. Pei, J. Han, B. Mortazavi-Asl, J. Wang, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu. Mining Sequential Patterns by Pattern-Growth: The Pre¯xSpan Approach. IEEE Transactions on Knowledge and Data Engineering, 16(10), 2004.
13. M. Palmer, D. Gildea and P. Kingsbury. The Proposition Bank: An Annotated Corpus of Semantic Roles. Computational Linguistics, 31(1), pages 71-106, 2005.
14. C. F. Baker, C. J. Fillmore, and J. B. Lowe. The Berkeley FrameNet Project. In Proceedings of the COLING/ACL-98, pages 86-90, 1998.
15. D. Gildea and D. Jurafsky. Automatic Labeling of Semantic Roles. Computational Linguistics, 28(3), pages 245-288, 2002.
16. P. Koomen, V. Punyakanok, D. Roth, and W. Yih. Generalized Inference with Multiple Semantic Role Labeling Systems. In Proceedings of the CoNLL, pages 181-184, 2005.

Un Yong Nahm. Text Mining with Information Extraction. Ph.D. Thesis. Department of Computer Sciences, University of Texas at Austin, 2004.
C. J. Fillmore and C. F. Baker. Frame Semantics for Text Understanding. In Proceedings of WordNet and Other Lexical Resources Workshop, NAACL, 2001.
C. Sutton and A. McCallum. An Introduction to Conditional Random Fields for Relational Learning. In Introduction to Statistical Relational Learning, Lise Getoor and Ben Taskar (eds.), MIT Press, 2006.

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