Graph-based named entity linking with Wikipedia

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6997 LNCS, Issue , 2011, Pages 213-226

  Hachey, Ben ^a,b   Radford, Will ^b,c   Curran, James R ^b,c  

^a MACQUARIE UNIVERSITY   (Australia)

^b Capital Markets CRC ^*  (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

entity resolution; integration; text mining; web intelligence; Wikipedia

Indexed keywords

ENTITY RESOLUTION; GRAPH-BASED; NAMED ENTITIES; TEXT MINING; WEB INTELLIGENCE; WIKIPEDIA; WORD-SENSE DISAMBIGUATION; WORDNET;

INFORMATION SYSTEMS; SYSTEMS ENGINEERING; USER INTERFACES; WORLD WIDE WEB;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80054062473     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24434-6_16     Document Type: Conference Paper

References (31)

1. Bagga, A., Baldwin, B.: Entity-based cross-document coreferencing using the vector space model. In: Proceedings of the 17th International Conference on Computational Linguistics, Montreal, Quebec, Canada, pp. 79-85 (1998)
2. Barzilay, R., Elhadad, M.: Using lexical chains for text summarization. In: Proceedings of the ACL Workshop on Intelligent Scalable Text Summarization, Madrid, Spain, pp. 10-17 (1997)
3. Borgatti, S.: Identifying sets of key players in a network. In: Proceedings of the International Conference on Integration of Knowledge Intensive Multi-Agent Systems, Cambridge, MA, USA, pp. 127-131 (2003)
4. Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. In: Proceedings of the 7th International Conference on the World Wide Web, Brisbane, Australia, pp. 107-117 (1998)
5. Bunescu, R., Paşca, M.: Using encyclopedic knowledge for named entity disambiguation. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics, Trento, Italy, pp. 9-16 (2006)
6. Cucerzan, S.: Large-scale named entity disambiguation based on Wikipedia data. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Prague, Czech Republic, pp. 708-716 (2007)
7. Curran, J.R., Clark, S.: Language independent NER using a maximum entropy tagger. In: Proceedings of the Seventh Conference on Natural Language Learning, Edmonton, Canada, pp. 164-167 (2003)
8. de Vries, A.P., Vercoustre, A.M., Thom, J.A., Craswell, N., Lalmas, M.: Overview of the INEX 2007 entity ranking track. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds.) INEX 2007. LNCS, vol. 4862, pp. 245-251. Springer, Heidelberg (2008)
9. Dredze, M., McNamee, P., Rao, D., Gerber, A., Finin, T.: Entity disambiguation for Knowledge Base Population. In: Proceedings of the 23rd International Conference on Computational Linguistics, Beijing, China, pp. 277-285 (2010)
10. Fader, A., Soderland, S., Etzioni, O.: Scaling Wikipedia-based named entity disambiguation to arbitrary web text. In: Proceedings of the IJCAIWorkshop on User-contributed Knowledge and Artificial Intelligence: An Evolving Synergy, Pasadena, CA, USA, pp. 21-26 (2009)
11. Fellbaum, C. (ed.):WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)
12. Ferragina, P., Scaiella, U.: TAGME: on-the-fly annotation of short text fragments (by Wikipedia entities). In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, Toronto, ON, Canada, pp. 1625-1628 (2010)
13. Garoufi, K., Zesch, T., Gurevych, I.: Graph-theoretic analysis of collaborative knowledge bases in natural language processing. In: Proceedings of the 7th International Semantic Web Conference, Karlsruhe, Germany (2008)
14. Grishman, R., Sundheim, B.: Message Understanding Conference-6: a brief history. In: Proceedings of the 16th Conference on Computational Linguistics, Copenhagen, Denmark, pp. 466-471 (1996)
15. Hobbs, J.R.: Pronoun resolution. Tech. rep., Department of Computer Science, City University of New York (1976)
16. Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. In: Proceedings of the 9th Annual ACM-SIAM Symposium on Discrete Algorithms, San Francisco, CA, USA, pp. 668-677 (1998)
17. Kulkarni, S., Singh, A., Ramakrishnan, G., Chakrabarti, S.: Collective annotation of wikipedia entities in web text. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, pp. 457-466 (2009)
18. Lehmann, J., Monahan, S., Nezda, L., Jung, A., Shi, Y.: LCC approaches to knowledge base population at TAC 2010. In: Proceedings of the Text Analysis Conference, Gaithersburg, MD, USA (2010)
19. McNamee, P.: HLTCOE efforts in entity linking at TAC KBP 2010. In: Proceedings of the Text Analysis Conference, Gaithersburg, MD, USA (2010)
20. McNamee, P., Dang, H.T., Simpson, H., Schone, P., Strassel, S.M.: An evaluation of technologies for knowledge base population. In: Proceedings of the 7th International Conference on Language Resources and Evaluation, Valletta, Malta, pp. 369-372 (2010)
21. Mihalcea, R.: Unsupervised large-vocabulary word sense disambiguation with graph-based algorithms for sequence data labeling. In: Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, BC, Canada, pp. 411-418 (2005)
22. Mihalcea, R., Csomai, A.: Wikify!: linking documents to encyclopedic knowledge. In: Proceedings of the 16th ACM conference on Conference on Information and Knowledge Management, Lisbon, Portugal, pp. 233-242 (2007)
23. Milne, D., Witten, I.H.: Learning to link with Wikipedia. In: Proceedings of the 17th ACM Conference on Information and Knowledge Management, Napa Valley, CA, USA, pp. 509-518 (2008)
24. Navigli, R., Lapata, M.: Graph connectivity measures for unsupervised word sense disambiguation. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, pp. 1683-1688 (2007)
25. Navigli, R., Lapata, M.: An experimental study of graph connectivity for unsupervised word sense disambiguation. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(4), 678-692 (2010)
26. NIST: Task description for knowledge-base population at TAC 2010 (2010), http://nlp.cs.qc.cuny.edu/kbp/2010/KBP2010-TaskDefinition.pdf (accessed August 20, 2010)
27. Radford, W., Hachey, B., Nothman, J., Honnibal, M., Curran, J.R.: Cmcrc at tac10: Document-level entity linking with graph-based reranking. In: Proceedings of the Text Analysis Conference, Gaithersburg, MD, USA (2010)
28. Soon, W.M., Lim, D.C.Y., Ng, H.T.: A machine learning approach to coreference resolution of noun phrases. Computational Linguistics 27(4), 521-544 (2001)
29. Tjong Kim Sang, E.F.: Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition. In: Proceedings of the 6th Conference on Natural Language Learning, Taipei, Taiwan, pp. 1-4 (2002)
30. Varma, V., Bysani, P., Reddy, K., Bharat, V., GSK, S., Kumar, K., Kovelamudi, S., Kiran Kumar, N., Maganti, N.: IIIT Hyderabad at TAC 2009. In: Proceedings of the Text Analysis Conference. Gaithersburg, MD, USA (2009)
31. Zheng, Z., Li, F., Huang, M., Zhu, X.: Learning to link entities with knowledge base. In: Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics, Los Angeles, CA USA, pp. 483-491 (2010)