Learning field compatibilities to extract database records from unstructured text

COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2006, Pages 603-611

  Wick, Michael ^a   Culotta, Aron ^a   McCallum, Andrew ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION;

COMPATIBILITY FUNCTION; DATABASE RECORDS; EXTRACTION SYSTEMS; GRAPH PARTITIONING ALGORITHMS; IMPACT PERFORMANCE; NAMED ENTITY RECOGNITION; PROBABILISTIC MODELING; UNSTRUCTURED TEXTS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 67651206429     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1610075.1610160     Document Type: Conference Paper

References (21)

1. Eugene Agichtein and Luis Gravano. 2000. Snowball: Extracting relations from large plain-text collections. In Proceedings of the Fifth ACM International Conference on Digital Libraries.
2. Nikhil Bansal, Avrim Blum, and Shuchi Chawla. 2004. Correlation clustering. Machine Learining, 56:89-113.
3. Daniel M. Bikel, Richard Schwartz, and Ralph M. Weischedel. 1999. An algorithm that learns what's in a name. Machine Learning, 34:211-231.
4. Vinayak R. Borkar, Kaustubh Deshmukh, and Sunita Sarawagi. 2001. Automatic segmentation of text into structured records. In SIGMOD Conference.
5. Sergey Brin. 1998. Extracting patterns and relations from the world wide web. In WebDB Workshop at 6th International Conference on Extending Database Technology.
6. Aron Culotta and Andrew McCallum. 2006. Practical Markov logic containing first-order quantifiers with application to identity uncertainty. In HLT Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing, June.
7. Aron Culotta and Jeffrey Sorensen. 2004. Dependency tree kernels for relation extraction. In ACL.
8. Aron Culotta, Ron Bekkerman, and Andrew McCallum. 2004. Extracting social networks and contact information from email and the web. In First Conference on Email and Anti-Spam (CEAS), Mountain View, CA.
9. David W. Embley and Lin Xu. 2000. Record location and reconfiguration in unstructured multiple-record web documents. In WebDB, pages 123-128.
10. David W. Embley, Xiaoyi Jiang, and Yiu-Kai Ng. 1999. Record-boundary discovery in web documents. In SIGMOD Conference, pages 467-478.
11. Ralph Grishman. 1997. Information extraction: Techniques and challenges. In SCIE, pages 10-27.
12. Nanda Kambhatla. 2004. Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations. In ACL.
13. Pallika Kanani, Andrew McCallum, and Chris Pal. 2006. Improving author coreference by resourcebounded information gathering from the web. Technical note.
14. Trausti Kristjannson, Aron Culotta, Paul Viola, and Andrew McCallum. 2004. Interactive information extraction with conditional random fields. Nineteenth National Conference on Artificial Intelligence (AAAI 2004).
15. Andrew McCallum and Ben Wellner. 2005. Conditional models of identity uncertainty with application to noun coreference. In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, Advances in Neural Information Processing Systems 17. MIT Press, Cambridge, MA.
16. Ryan McDonald, Fernando Pereira, Seth Kulick, Scott Winters, Yang Jin, and Pete White. 2005. Simple algorithms for complex relation extraction with applications to biomedical ie. In 43rd Annual Meeting of the Association for Computational Linguistics.
17. Brian Milch, Bhaskara Marthi, and Stuart Russell. 2005. BLOG: Probabilistic models with unknown objects. In IJCAI.
18. Scott Miller, Heidi Fox, Lance A. Ramshaw, and Ralph Weischedel. 2000. A novel use of statistical parsing to extract information from text. In ANLP.
19. Charles Sutton and Andrew McCallum. 2006. An introduction to conditional random fields for relational learning. In Lise Getoor and Ben Taskar, editors, Introduction to Statistical Relational Learning. MIT Press. To appear.
20. Paul Viola and Mukund Narasimhan. 2005. Learning to extract information from semi-structured text using a discriminative context free grammar. In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, pages 330-337, New York, NY, USA. ACM Press.
21. Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003. Kernel methods for relation extraction. Journal of Machine Learning Research, 3:1083-1106.