Learning Effective Surface Text Patterns for Information Extraction

EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Workshop on Adaptive Text Extraction and Mining, ATEM 2006

Volumn , Issue , 2006, Pages 1-8

  Geleijnse, Gijs ^a   Korst, Jan ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS;

FUNCTIONAL RELATION; INTERNET SEARCH-ENGINES; LEARN+; NON-FUNCTIONAL; NOVEL METHODS; ONTOLOGY POPULATION; SURFACE TEXT;

SEARCH ENGINES;

EID: 85187557560     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. E. Agichtein and L. Gravano. 2000. Snowball: Extracting relations from large plain-text collections. In Proceedings of the Fifth ACM International Conference on Digital Libraries.
2. E. Brill. 1992. A simple rule-based part-of-speech tagger. In Proceedings of the third Conference on Applied Natural Language Processing (ANLP'92), pages 152-155, Trento, Italy.
3. S. Brin. 1998. Extracting patterns and relations from the world wide web. In WebDB Workshop at sixth International Conference on Extending Database Technology (EDBT'98).
4. P. Buitelaar, P. Cimiano, and B. Magnini, editors. 2005. Ontology Learning from Text: Methods, Evaluation and Applications, volume 123 of Frontiers in Arti£cial Intelligence and Applications. IOS Press.
5. N. A. Chinchor, editor. 1998. Proceedings of the Seventh Message Understanding Conference (MUC-7). Morgan Kaufmann, Fairfax, Virginia.
6. P. Cimiano and S. Staab. 2004. Learning by googling. SIGKDD Explorations Newsletter, 6(2):24-33.
7. M. Craven, D. DiPasquo, D. Freitag, A. McCallum, T. Mitchell, K. Nigam, and S. Slattery. 2000. Learning to construct knowledge bases from the World Wide Web. Arti£cial Intelligence, 118:69-113.
8. V. Crescenzi and G. Mecca. 2004. Automatic information extraction from large websites. Journal of the ACM, 51(5):731-779.
9. O. Etzioni, M. J. Cafarella, D., A. Popescu, T. Shaked, S. Soderland, D. S. Weld, and A. Yates. 2005. Unsupervised named-entity extraction from the web: An experimental study. Arti£cial Intelligence, 165(1):91-134.
10. K. Frantzi, S. Ananiado, and H. Mima. 2000. Automatic recognition of multi-word terms: the cvalue/ nc-value method. International Journal on Digital Libraries, 3:115-130.
11. G. Geleijnse and J. Korst. 2005. Automatic ontology population by googling. In Proceedings of the Seventeenth Belgium-Netherlands Conference on Arti- £cial Intelligence (BNAIC 2005), pages 120-126, Brussels, Belgium.
12. M. Hearst. 1992. Automatic acquisition of hyponyms from large text corpora. In Proceedings of the 14th conference on Computational linguistics, pages 539-545, Morristown, NJ, USA.
13. M. Hearst. 1998. Automated discovery of wordnet relations. In Christiane Fellbaum, editor, WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA.
14. G. Nenadić, I. Spasić, and S. Ananiadou. 2002. Automatic discovery of term similarities using pattern mining. In Proceedings of the second international workshop on Computational Terminology (CompuTerm' 02), Taipei, Taiwan.
15. D. Ravichandran and E. Hovy. 2002. Learning surface text patterns for a question answering system. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL 2002), pages 41-47, Philadelphia, PA.
16. E. Voorhees. 2004. Overview of the trec 2004 question answering track. In Proceedings of the 13th Text Retrieval Conference (TREC 2004), Gaithersburg, Maryland.
17. G. Zhou and J. Su. 2002. Named entity recognition using an hmm-based chunk tagger. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL 2002), pages 473-480, Philadelphia, PA.