Take a look at the new version of this page: [ beta version ]. Tell us what you think.

ABSTRACT

A seed-based framework for textual information extraction allows for weakly supervised extraction of named entities from anonymized Web search queries. The extraction is guided by a small set of seed named entities, without any need for handcrafted extraction patterns or domain-specific knowledge, allowing for the acquisition of named entities pertaining to various classes of interest to Web search users. Inherently noisy search queries are shown to be a highly valuable, albeit little explored, resource for Web-based named entity discovery.

REFERENCES

• 1: Eric Brill , Philip Resnik, A rule-based approach to prepositional phrase attachment disambiguation, Proceedings of the 15th conference on Computational linguistics, August 05-09, 1994, Kyoto, Japan [doi>10.3115/991250.991346]
• 2: Michael J. Cafarella , Doug Downey , Stephen Soderland , Oren Etzioni, KnowItNow: fast, scalable information extraction from the web, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, p.563-570, October 06-08, 2005, Vancouver, British Columbia, Canada [doi>10.3115/1220575.1220646]
• 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: Hang Cui , Ji-Rong Wen , Jian-Yun Nie , Wei-Ying Ma, Probabilistic query expansion using query logs, Proceedings of the 11th international conference on World Wide Web, May 07-11, 2002, Honolulu, Hawaii, USA [doi>10.1145/511446.511489]
• 6: Alexandre Klementiev , Dan Roth, Weakly supervised named entity transliteration and discovery from multilingual comparable corpora, Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, p.817-824, July 17-18, 2006, Sydney, Australia [doi>10.3115/1220175.1220278]
• 7: Lillian Lee, Measures of distributional similarity, Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics, p.25-32, June 20-26, 1999, College Park, Maryland [doi>10.3115/1034678.1034693]
• 8: Mu Li , Yang Zhang , Muhua Zhu , Ming Zhou, Exploring distributional similarity based models for query spelling correction, Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, p.1025-1032, July 17-18, 2006, Sydney, Australia [doi>10.3115/1220175.1220304]
• 9: K. McCarthy and W. Lehnert. Using decision trees for coreference resolution. In Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI-95), pages 1050--1055, Montreal, Quebec, 1995.
• 10: Raymond J. Mooney , Razvan Bunescu, Mining knowledge from text using information extraction, ACM SIGKDD Explorations Newsletter, v.7 n.1, p.3-10, June 2005 [doi>10.1145/1089815.1089817]
• 11: Marius Pasca, Acquisition of categorized named entities for web search, Proceedings of the thirteenth ACM international conference on Information and knowledge management, November 08-13, 2004, Washington, D.C., USA [doi>10.1145/1031171.1031194]
• 12: Marius Paşca, Organizing and searching the world wide web of facts -- step two: harnessing the wisdom of the crowds, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada [doi>10.1145/1242572.1242587]
• 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 of the 13th National Conference on Artificial Intelligence (AAAI-96), pages 1044--1049, Portland, Oregon, 1996.
• 15: Ellen Riloff , Rosie Jones, Learning dictionaries for information extraction by multi-level bootstrapping, Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence, p.474-479, July 18-22, 1999, Orlando, Florida, United States
• 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: Yusuke Shinyama , Satoshi Sekine, Named entity discovery using comparable news articles, Proceedings of the 20th international conference on Computational Linguistics, p.848-es, August 23-27, 2004, Geneva, Switzerland [doi>10.3115/1220355.1220477]
• 18: Mark Stevenson , Robert Gaizauskas, Using corpus-derived name lists for named entity recognition, Proceedings of the sixth conference on Applied natural language processing, p.290-295, April 29-May 04, 2000, Seattle, Washington [doi>10.3115/974147.974187]
• 19: P. Talukdar, T. Brants, M. Liberman, and F. Pereira. A context pattern induction method for named entity extraction. In Proceedings of the 10th Conference on Computational Natural Language Learning (CoNLL-X), pages 141--148, New York, New York, 2006.
• 20: Michael Thelen , Ellen Riloff, A bootstrapping method for learning semantic lexicons using extraction pattern contexts, Proceedings of the ACL-02 conference on Empirical methods in natural language processing, p.214-221, July 06, 2002 [doi>10.3115/1118693.1118721]
• 21: Ziming Zhuang , Silviu Cucerzan, Re-ranking search results using query logs, Proceedings of the 15th ACM international conference on Information and knowledge management, November 06-11, 2006, Arlington, Virginia, USA [doi>10.1145/1183614.1183767]

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.7 Natural Language Processing

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
      H.3.3 Information Search and Retrieval

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning

General Terms:
Algorithms, Experimentation

Keywords:
knowledge acquisition, named entities, query logs, unstructured text, weakly supervised information extraction