Learning 5000 relational extractors

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2010-July, Issue , 2010, Pages 286-295

  Hoffmann, Raphael ^a   Zhang, Congle ^a   Weld, Daniel S ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

F1 SCORES; INFORMATION EXTRACTION SYSTEMS; LABELED TRAINING DATA; LARGE-SCALES; LEARN+; NATURAL LANGUAGES TEXTS; ORDERS OF MAGNITUDE; PERFORMANCE; SPECIFIC INFORMATION; WEB TEXTS;

AUTOMATION;

EID: 85118470114     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (35)

1. Eugene Agichtein and Venkatesh Ganti. 2004. Mining reference tables for automatic text segmentation. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), pages 20-29.
2. Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary G. Ives. 2007. Dbpedia: A nucleus for a web of open data. In Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC-2007), pages 722-735.
3. Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, and Oren Etzioni. 2007. Open information extraction from the web. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-2007), pages 2670-2676.
4. Kedar Bellare and Andrew McCallum. 2007. Learning extractors from unlabeled text using relevant databases. In Sixth International Workshop on Information Integration on the Web.
5. Yoshua Bengio, Olivier Delalleau, and Nicolas Le Roux. 2006. Label propagation and quadratic criterion. In Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien, editors, Semi-Supervised Learning, pages 193-216. MIT Press.
6. Michael J. Cafarella, Alon Y. Halevy, Daisy Zhe Wang, Eugene Wu, and Yang Zhang. 2008. Webtables: exploring the power of tables on the web. Proceedings of the International Conference on Very Large Databases (VLDB-2008), 1(1):538-549.
7. Andrew Carlson, Justin Betteridge, Estevam R. Hruschka Jr., and Tom M. Mitchell. 2009a. Coupling semi-supervised learning of categories and relations. In NAACL HLT 2009 Workskop on Semi-supervised Learning for Natural Language Processing.
8. Andrew Carlson, Scott Gaffney, and Flavian Vasile. 2009b. Learning a named entity tagger from gazetteers with the partial perceptron. In AAAI Spring Symposium on Learning by Reading and Learning to Read.
9. William W. Cohen and Sunita Sarawagi. 2004. Exploiting dictionaries in named entity extraction: combining semi-markov extraction processes and data integration methods. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), pages 89-98.
10. Michael Collins. 2002. Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-2002).
11. Mark Craven and Johan Kumlien. 1999. Constructing biological knowledge bases by extracting information from text sources. In Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology (ISMB-1999), pages 77-86.
12. Benjamin Van Durme and Marius Pasca. 2008. Finding cars, goddesses and enzymes: Parametrizable acquisition of labeled instances for open-domain information extraction. In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-2008), pages 1243-1248.
13. Oren Etzioni, Michael J. Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, and Alexander Yates. 2004. Methods for domain-independent information extraction from the web: An experimental comparison. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI-2004), pages 391-398.
14. Dayne Freitag. 1998. Toward general-purpose learning for information extraction. In Proceedings of the 17th international conference on Computational linguistics, pages 404-408. Association for Computational Linguistics.
15. Yoav Freund and Robert E. Schapire. 1999. Large margin classification using the perceptron algorithm. Machine Learning, 37(3):277-296.
16. Zoubin Ghahramani and Katherine A. Heller. 2005. Bayesian sets. In Neural Information Processing Systems (NIPS-2005).
17. Lynette Hirschman, Alexander A. Morgan, and Alexander S. Yeh. 2002. Rutabaga by any other name: extracting biological names. Journal of Biomedical Informatics, 35(4):247-259.
18. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML-2001), pages 282-289.
19. Marie-Catherine De Marneffe, Bill Maccartney, and Christopher D. Manning. 2006. Generating typed dependency parses from phrase structure parses. In Proceedings of the fifth international conference on Language Resources and Evaluation (LREC-2006).
20. Scott Miller, Jethran Guinness, and Alex Zamanian. 2004. Name tagging with word clusters and discriminative training. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL-2004).
21. Mike Mintz, Steven Bills, Rion Snow, and Daniel Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In The Annual Meeting of the Association for Computational Linguistics (ACL-2009).
22. Marius Pasca. 2009. Outclassing wikipedia in open-domain information extraction: Weakly-supervised acquisition of attributes over conceptual hierarchies. In Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL-2009), pages 639-647.
23. Ellen Riloff. 1993. Automatically constructing a dictionary for information extraction tasks. In Proceedings of the 11th National Conference on Artificial Intelligence (AAAI-1993), pages 811-816.
24. Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2008. Yago: A large ontology from wikipedia and word-net. Elsevier Journal of Web Semantics, 6(3):203-217.
25. Fabian M. Suchanek, Mauro Sozio, and Gerhard Weikum. 2009. Sofie: A self-organizing framework for information extraction. In Proceedings of the 18th International Conference on World Wide Web (WWW-2009).
26. Partha Pratim Talukdar, Thorsten Brants, Mark Liberman, and Fernando Pereira. 2006. A context pattern induction method for named entity extraction. In The Tenth Conference on Natural Language Learning (CoNLL-X-2006).
27. Partha Pratim Talukdar, Joseph Reisinger, Marius Pasca, Deepak Ravichandran, Rahul Bhagat, and Fernando Pereira. 2008. Weakly-supervised acquisition of labeled class instances using graph random walks. In EMNLP, pages 582-590.
28. Richard C. Wang and William W. Cohen. 2007. Language-independent set expansion of named entities using the web. In Proceedings of the 7th IEEE International Conference on Data Mining (ICDM-2007), pages 342-350.
29. Richard C. Wang and William W. Cohen. 2008. Iterative set expansion of named entities using the web. In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM-2008).
30. Gang Wang, Yong Yu, and Haiping Zhu. 2007. Pore: Positive-only relation extraction from wikipedia text. In Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC-2007), pages 580-594.
31. Ye-Yi Wang, Raphael Hoffmann, Xiao Li, and Alex Acero. 2009. Semi-supervised acquisition of semantic classes - from the web and for the web. In International Conference on Information and Knowledge Management (CIKM-2009), pages 37-46.
32. Fei Wu and Daniel S. Weld. 2007. Autonomously semantifying wikipedia. In Proceedings of the International Conference on Information and Knowledge Management (CIKM-2007), pages 41-50.
33. Fei Wu and Daniel S. Weld. 2008. Automatically refining the wikipedia infobox ontology. In Proceedings of the 17th International Conference on World Wide Web (WWW-2008), pages 635-644.
34. Fei Wu and Daniel S. Weld. 2010. Open information extraction using wikipedia. In The Annual Meeting of the Association for Computational Linguistics (ACL-2010).
35. Fei Wu, Raphael Hoffmann, and Daniel S. Weld. 2008. Information extraction from wikipedia: moving down the long tail. In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008), pages 731-739.