Semantic integration in text: From ambiguous names to identifiable entities

AI Magazine

Volumn 26, Issue 1, 2005, Pages 45-58

  Li, Xin ^a   Morie, Paul ^a   Roth, Dan ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; FEATURE EXTRACTION; LEARNING SYSTEMS; MATHEMATICAL MODELS; NATURAL LANGUAGE PROCESSING SYSTEMS; PROBABILITY DISTRIBUTIONS; TEXT PROCESSING; THEOREM PROVING;

LEARNING PROTOCOL; NATURAL LANGUAGE TEXT DOCUMENTS; SEMANTIC INTEGRATION;

SEMANTICS;

EID: 17244368453     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. Andritsos, P.; Miller, R. J.; and Tsaparas, P. 2004. Information-Theoretic Tools for Mining Database Structure from Large Data Sets. In Proceedings of the ACM SIGMOD International Conference on Management of Data. New York: Association for Computing Machinery.
2. Bagga, A., and Baldwin, B. 1998. Entity-based cross-document coreferencing using the vector space model. In Proceedings of the Seventeenth International Conference on Computational Linguistics. 79-85. East Stroudsburg, PA: Association for Computational Linguistics.
3. Bilenko, M., and Mooney, R. 2003. Adaptive Duplicate Detection Using Learnable String Similarity Measures. In Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery.
4. Carlson, A.; Cumby, C.; Rosen, J.; and Roth, D. 1999. The SNoW Learning Architecture. Technical Report UIUCDCSR992101, Computer Science Department University of Illinois at Urbana-Champaign, Urbana, IL.
5. Cohen, W.; Ravikumar, P.; and Fienberg, S. 2003. A Comparison of String Metrics for Name-Matching Tasks. Paper presented at the IJCAI-03 workshop on Information integration on the Web (IIWeb-03), Acapulco, Mexico, Aug. 9-10.
6. Cohen W., and Richman, J. 2002. Learning to Match and Cluster Large High-Dimensional Data Sets for Data Integration. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery.
7. Culotta, A.; Bekkerman, R.; and McCallum, A. 2004. Extracting Social Networks and Contact Information from E-mail and the Web. Paper presented ar the First Conference on Email and Anti-Spam (CEAS 2004). Mountain View. CA, July 30-31 (www.ceas.cc./papers-2004/).
8. Dhamankar, R.; Lee, Y.; Doan, A.; Halevy, A. and Domingos, P. 2004. iMAP: Discovering Complex Matches between Database Schemas. In Proceedings of the ACM SIGMOD International Conference on Management of Data. New York: Association for Computing Machinery.
9. Doan, A.; Domingos, P.; and Halevy, A. 2001. Reconciling Schemas of Disparate Data Sources: A Machine Learning Approach. In Proceedings of the ACM SIGMOD International Conference on Management of Data. New York: Association for Computing Machinery.
10. Doan, A.; Lu, Y.; Lee, Y.; and Han, J. 2003. Profile-Based Object Matching for Information Integration. IEEE Intelligent Systems 18(5): 54-59.
11. Dong, X.; Halevy, A.; Nemes, E.; Sigurdsson, S.; and Domingos, P. 2004. Semex: Toward On-the-Fly Personal Information Integration. Paper presented at the VLDB II Workshop on Information integration on the Web, Toronto, Canada, 30 August (cips.eas.asu.edu/iiweb-proceedings.html).
12. Gooi, C., and Allan, J. 2004. Cross-Document Coreference on a Large Scale Corpus. In Proceedings of the Human Language Technology Conference and the North American Chapter of the Association for Computational Linguistics. Philadelphia: University of Pennsylvania (acl.ldc.upenn.edu/ hlt-naacl2004/main/)
13. Hernandez, M., and Stolfo, S. 1995. The Merge/Purge Problem for Large Databases. In Proceedings of the ACM SIGMOD International Conference on Management of Data, 127-138. New York: Association for Computing Machinery.
14. Jain, A., and Dubes, R. 1988. Algorithms for Clustering Data. Engelwood Cliffs, N.J.: Prentice Hall.
15. Jones, W., and Maier, D. 2004. Personal Information Management. Paper presented at the Information Retrieval and Databases: Synergies and Syntheses Workshop, Seattle, Sept. 14-16 (dada.cs.washington.edu/ nsf2003).
16. Kehler, A. 2002. Coherence, Reference, and the Theory of Grammar. Stanford, CA: CSLI Publications.
17. Li, X.; Morie, P.; and Roth, D. 2004a. Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches. In Proceedings of the Nineteenth National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press.
18. Li, X.; Morie, P.; and Roth, D. 2004b. Robust Reading: Identification and Tracing of Ambiguous Names. In Proceedings of the Human Language Technology Conference and the North American Chapter of the Association for Computational Linguistics. Philadelphia: University of Pennsylvania (acl.ldc.upenn.edu/hlt-naad2004/main/)
19. Madhavan, J.; Bernstein, P.; and Rahm, E. 2001. Generic Schema Matching with Cupid. In Proceedings of the International Conference on Very Large Databases (VLDB). San Francisco: Morgan Kaufmann Publishers.
20. Mann, G., and Yarowsky, D. 2003. Unsupervised Personal Name Disambiguation. In Proceedings of the Conference on Computational Natural Language Learning (CoNLL2003). San Francisco: Morgan Kaufmann Publishers.
21. McCallum, A., and Wellner, B. 2003. Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference. Paper presented at the IJCAI03 workshop on Information integration on the Web (IIWeb-03), Acapulco, Mexico, Aug. 9-10.
22. Moldovan, D.; Pasca, M.; Harabagiu, S.; and Surdeanu, M. 2002. Performance Issues and Error Analysis in an Open-Domain Question Answering System. In Proceedings of the Fortieth Annual Meeting of the Association for Computational Linguistics, 33-40. East Stroudsburg, PA: Association for Computational Linguistics.
23. Ng, V., and Cardie, C. 2002. Improving Machine Learning Approaches to Coreference Resolution. In Proceedings of the Fortieth Annual Meeting of the Association for Computational Linguistics. East Stroudsburg, PA: Association for Computational Linguistics.
24. Ouksel, A., and Seth, A. P., eds. 1999. Special Issue on Semantic Interoperability in Global Information Systems. SIGMOD Record 28(1).
25. Pasula, H.; Marthi, B.; Milch, B.; Russell, S.; and Shpitser, I. 2002. Identity Uncertainty and Citation Matching. In Advances in Neural Information Processing (NIPS). Cambridge, MA: MIT Press.
26. Rahm, E., and Bernstein, P. 2001. On Matching Schemas Automatically. VLDB Journal 10(4): 334-350.
27. Roth, D., and Yih, W. 2001. Relational Learning Via Propositional Algorithms: An Information Extraction Case Study. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 1257-1263. San Francisco: Morgan Kaufmann Publishers.
28. Roth, D.; Cumby, C.; Li, X.; Morie, P.; Nagarajan, R.; Rizzolo, N.; Small, K.; and Yih, W. 2002. Question Answering Via Enhanced Understanding of Questions. In Proceedings of the Eleventh Text Retrival Conference, NIST, 592-601. Gaithersburg, MD: National Institute of Standards and Technology.
29. Soon, W.; Ng, H.; and Lim, D. 2001. A Machine Learning Approach to Coreference Resolution of Noun Phrases. Computational Linguistics (Special Issue on Computational Anaphora Resolution) 27(4): 521-544.
30. Tejada, S.; Knoblock, C.; and Minton, S. 2002. Learning Domain-Independent String Transformation Weights for High Accuracy Object Identification. In Proceedings of the Eighth SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery.
31. Voorhees, E. 2002. Overview of the TREC2002 question answering track. In Proceedings of the Eleventh Text Retrieval Conference, NIST, 115-123. Gaithersburg, MD: National Institute of Standards and Technology.