Weakly-supervised discovery of named entities using web search queries

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2007, Pages 683-690

  Paşca, Marius ^a  

^a GOOGLE INC   (United States)

Author keywords

Knowledge acquisition; Named entities; Query logs; Unstructured text; Weakly supervised information extraction

Indexed keywords

DOMAIN-SPECIFIC KNOWLEDGE; EXTRACTION PATTERNS; NAMED ENTITIES; QUERY LOGS; SEARCH QUERIES; TEXTUAL INFORMATIONS; UNSTRUCTURED TEXT; WEAKLY SUPERVISED INFORMATION EXTRACTION; WEB SEARCH QUERIES; WEB SEARCHES;

INFORMATION RETRIEVAL; KNOWLEDGE MANAGEMENT; MERGERS AND ACQUISITIONS; NATURAL LANGUAGE PROCESSING SYSTEMS; WEBSITES;

KNOWLEDGE ACQUISITION;

EID: 63449125968     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1321440.1321536     Document Type: Conference Paper

References (21)

1. E. Brill and P. Resnik. A transformation-based approach to prepositional phrase attachment disambiguation. In Proceedings of the 15th International Conference on Computational Linguistics (COLING-94), pages 1198-1204, Kyoto, Japan, 1994.
2. M. Cafarella, D. Downey, S. Soderland, and O. Etzioni. KnowItNow: Fast, scalable information extraction from the Web. In Proceedings of the Human Language Technology Conference (HLT-EMNLP-05), pages 563-570, Vancouver, Canada, 2005.
3. M. Collins and Y. Singer. Unsupervised models for named entity classification. In Proceedings of the 1999 Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-99), pages 189-196, College Park, Maryland, 1999.
4. S. Cucerzan and D. Yarowsky. Language independent named entity recognition combining morphological and contextual evidence. In Proceedings of the 1999 Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-99), pages 90-99, College Park, Maryland, 1999.
5. H. Cui, J. Wen, J. Nie, and W. Ma. Probabilistic query expansion using query logs. In Proceedings of the 11th World Wide Web Conference (WWW-02), pages 325-332, Honolulu, Hawaii, 2002.
6. A. Klementiev and D. Roth. Weakly supervised named entity transliteration and discovery from multilingual comparable corpora. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL-06), pages 817-824, Sydney, Australia, 2006.
7. L. Lee. Measures of distributional similarity. In Proceedings of the 37th Annual Meeting of the Association of Computational Linguistics (ACL-99), pages 25-32, College Park, Maryland, 1999.
8. M. Li, M. Zhu, Y. Zhang, and M. Zhou. Exploring distributional similarity based models for query spelling correction. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL-06), pages 1025-1032, Sydney, Australia, 2006.
9. K. McCarthy and W. Lehnert. Using decision trees for coreference resolution. In Proceedings ofthe 14th International Joint Conference on Artificial Intelligence (IJCAI-95), pages 1050-1055, Montreal, Quebec, 1995.
10. R. Mooney and R. Bunescu. Mining knowledge from text using information extraction. SIGKDD Explorations, 7(1):3-10, 2005.
11. M. Pasca. Acquisition of categorized named entities for Web search. In Proceedings of the 13th ACM Conference on Information and Knowledge Management (CIKM-04), Washington, D.C., 2004.
12. M. Pasca. Organizing and searching the World Wide Web of facts - step two: Harnessing the wisdom of the crowds. In Proceedings of the 16th World Wide Web Conference (WWW-07), pages 101-110, Banff, Canada, 2007.
13. P. Pantel and D. Ravichandran. Automatically labeling semantic classes. In Proceedings of the 2004 Human Language Technology Conference (HLT-NAACL-04), pages 321-328, Boston, Massachusetts, 2004.
14. E. Riloff. Automatically generating extraction patterns from untagged text. In Proceedings ofthe 13th National Conference on Artificial Intelligence (AAAI-96), pages 1044-1049, Portland, Oregon, 1996.
15. E. Riloff and R. Jones. Learning dictionaries for information extraction by multi-level bootstrapping. In Proceedings of the 16th National Conference on Artificial Intelligence (AAAI-99), pages 474-479, Orlando, Florida, 1999.
16. L. Schubert. Turing's dream and the knowledge challenge. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06), Boston, Massachusetts, 2006.
17. Y. Shinyama and S. Sekine. Named entity discovery using comparable news articles. In Proceedings ofthe 20th International Conference on Computational Linguistics (COLING-04), pages 848-853, Geneva, Switzerland, 2004.
18. M. Stevenson and R. Gaizauskas. Using corpus-derived name lists for named entity recognition. In Proceedings ofthe 6th Conference on Applied Natural Language Processing (ANLP-00), Seattle, Washington, 2000.
19. P. Talukdar, T. Brants, M. Liberman, and F. Pereira. A context pattern induction method for named entity extraction. In Proceedings ofthe 10th Conference on Computational Natural Language Learning (CoNLL-X), pages 141-148, New York, New York, 2006.
20. M. Thelen and E. Riloff. A bootstrapping method for learning semantic lexicons using extraction pattern contexts. In Proceedings ofthe Conference on Empirical Methods in Natural Language Processing (EMNLP-02), pages 214-221, Philadelphia, Pennsylvania, 2002.
21. Z. Zhuang and S. Cucerzan. Re-ranking search results using query logs. In Proceedings of the 15th International Conference on Information and Knowledge Management (CIKM-06), pages 860-861, Arlington, Virginia, 2006.