Web-scale information extraction in knowltAll (preliminary results)

Thirteenth International World Wide Web Conference Proceedings, WWW2004

Volumn , Issue , 2004, Pages 100-110

  Etzioni, Oren ^a   Kok, Stanley ^a   Soderland, Stephen ^a   Cafarella, Michael ^a   Popescu, Ana Maria ^a   Weld, Daniel S ^a   Downey, Doug ^a   Shaked, Tal ^a   Yates, Alexander ^a  

^a University of Washington   (United States)

Author keywords

Information extraction; Mutual Information; Search

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER ARCHITECTURE; LARGE SCALE SYSTEMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; QUERY LANGUAGES; SEARCH ENGINES; WORLD WIDE WEB;

INFORMATION EXTRACTION; MULTIPLE DOCUMENTS; MUTUAL INFORMATION; SEARCH;

INFORMATION DISSEMINATION;

EID: 17644418833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. E. Agichtein and S. Gravano. Snowball: Extracting relations from large plain-text collections. In Proceedings of the 5th ACM International Conference on Digital Libraries, 2000.
2. M. Banko, E. Brill, S. Dumais, and J. Lin. AskMSR: Question answering using the Worldwide Web. In Proceedings of 2002 AAAI Spring Symposium on Mining Answers from Texts and Knowledge Bases, 2002.
3. Michele Banko and Eric Brill. Scaling to very very large corpora for natural language disambiguation. In ACL, pages 26-33, 2001.
4. E. Brill. Some advances in rule-based part of speech tagging. In Proceedings of the Twelfth National Conference on Artificial Intelligence, pages 722-727, 1994.
5. S. Brin. Extracting patterns and relations from the World-Wide Web. In Proceedings of the 1998 International Workshop on the Web and Databases, 1998.
6. M. Craven, D. DiPasquo, D. Freitag, A. McCallum, T. Mitchell, K. Nigam, and S. Slattery. Learning to extract symbolic knowledge from the World Wide Web. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, 1998.
7. M. Craven, D. DiPasquo, D. Freitag, A. McCallum, T. Mitchell, K. Nigam, and S. Slattery. Learning to construct knowledge bases from the world wide web. Artificial Intelligence, 2000.
8. Stephen Dill, Navad Eiron, David Gibson, Daniel Gruhl, R. Guha, Anant Jhingran, Tapas Kanungo, Sridhar Rajagopalan, Andrew Tomkins, John Tomlin, and Jason Zien. SemTag and Seeker: bootstrapping the semantic web via automated semantic annotation. In Proceedings of the Twelfth International Conference on World Wide Web, 2003.
9. P. Domingos and M. Pazzani. On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning, 29:103-130, 1997.
10. O. Etzioni. Moving up the information food chain: softbots as information carnivores. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, 1996.
11. Revised version reprinted in AI Magazine special issue, Summer '97.
12. Charles L. Forgy. Rete: A fast algorithm for the many pattern/many object pattern match problem, Artificial Intelligence, 19(1):17-37, 1982.
13. D. Freitag and A. McCallum. Information extraction with HMMs and shrinkage. In Proceedings of the AAAI-99 Workshop on Machine Learning for Information Extraction, 1999.
14. M. Hearst. Automatic acquisition of hyponyms from large text corpora. In Proceedings of the 14th International Conference on Computational Linguistics, pages 539-545, 1992.
15. Zachary Ives, Alon Halevy, and Dan Weld. An xml query engine for network-bound data. VLDB Journal, Special Issue on XML Query Processing, 2003.
16. Craig A. Knoblock, Kristina Lerman, Steven Minton, and Ion Muslea. Accurately and reliably extracting data from the Web: A machine learning approach. IEEE Data Engineering Bulletin, 23(4):33-41, 2000.
17. N. Kushmerick, D. Weld, and R. Doorenbos. Wrapper Induction for Information Extraction. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pages 729-737. San Francisco, CA: Morgan Kaufmann, 1997.
18. Cody C. T. Kwok, Oren Etzioni, and Daniel S. Weld. Scaling question answering to the Web. In World Wide Web, pages 150-161, 2001.
19. D. Lenat and J. S. Brown. Why AM and EURISKO appear to work. Artificial Intelligence, 23:269-294, 1984.
20. Bernardo Magnini, Matteo Negri, and Hristo Tanev. Is it the right answer? Exploiting web redundancy for answer validation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 425-432, 2002.
21. A. McCallum. Efficiently inducing features or conditional random fields. In Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence, 2003.
22. D. Moldovan, S. Harabagiu, R. Girju, P. Morarescu, F. Lacatusu, A. Novischi, A. Badulescu, and O. Bolohan. Lcc tools for question answering.
23. Dragomir R. Radev, Hong Qi, Zhiping Zheng, Sasha Blair-Goldensohn, Zhu Zhang, Weiguo Fan, and John Prager. Mining the web for answers to natural language questions. In ACM CIKM 2001: Tenth International Conference on Information and Knowledge Management, Atlanta, GA, 2001.
24. Deepak Ravichandran and Eduard Hovy. Learning surface text for a question answering system. In Proceedings of the 3rd Annual Meeting of the North American Chapter of the Association for Computational Linguistics, 2002.
25. E. Riloff and R. Jones. Learning dictionaries for information extraction by multi-level bootstrapping. In Proceedings of the Sixteenth National Conference on Artificial Intelligence, 1999.
26. M. Skounakis, M. Craven, and S. Ray. Hierarchical hidden markov models for information extraction. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, 2003.
27. S. Soderland. Learning information extraction rules for semi-structured and free text. Machine Learning, 34(1-3):233-272, 1999.
28. S. Soderland, D. Fisher, J. Aseltine, and W. Lehnert. CRYSTAL: Inducing a conceptual dictionary. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pages 1314-21, 1995.
29. P. D. Turney. Mining the Web for synonyms: PMI-IR versus LSA on TOEFL. In Proceedings of the Twelfth European Conference on Machine Learning, 2001.
30. Ellen M. Voorhees. Overview of the TREC 2001 question answering track. In Text REtrieval Conference, 2001.