Automatic segmentation of text into structured records

SIGMOD Record (ACM Special Interest Group on Management of Data)

Volumn 30, Issue 2, 2001, Pages 175-186

  Borkar, Vinayak ^a   Deshmukh, Kaustubh ^a,b   Sarawagi, Sunita ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0040748315     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/376284.375682     Document Type: Article

References (29)

1. B. Aldelberg. Nodose: A tool for semi-automatically extracting structured and semistructured data from text documents. In SIGMOD, 1998.
2. Arnaud Sahuguet and Fabien Azavant. Building light-weight wrappers for legacy Web data-sources using W4F. In International Conference on Very Large Databases (VLDB), 1999.
3. G. Barish, Y.-S. Chen, D. DiPasquo, C. A. Knoblock, S. Minton, I. Muslea, and C. Shahabi. Theaterloc: Using information integration technology to rapidly build virtual applications. In Intl. Conf. on Data Engineering ICDE, pages 681-682, 2000.
4. D. M. Bikel, S. Miller, R. Schwartz, and R. Weischedel. Nymble: a high-performance learning name-finder. In Proceedings of ANLP-97, pages 194-201, 1997.
5. M. E. Califf and R. J. Mooney. Relational learning of pattern-match rules for information extraction. In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), pages 328-334, July 1999.
6. A. Crespo, J. Jannink, E. Neuhold, M. Rys, and R. Studer. A survey of semi-automatic extraction and transformation. http://www-db.stanford.edu/ crespo/publications/.
7. D. W. Embley, Y. S. Jiang, and Y.-K. Ng. Record-boundary discovery in web documents. In SIGMOD 1999, Proceedings ACM SIGMOD International Conference on Management of Data, June 1-3, 1999, Philadephia, Pennsylvania, USA, pages 467-478, 1999.
8. D. Freitag and A. McCallum. Information extraction using HMMs and shrinkage. In Papers from the AAAI-99 Workshop on Machine Learning for Information Extraction, pages 31-36, 1999.
9. D. Freitag and A. McCallum. Information extraction with HMM structures learned by stochastic optimization. In Proceedings of the AAAI 2000, 2000.
10. H. Galhardas. http://caravel.inria.fr/ galharda/cleaning.html.
11. J. Hammer, H. Garcia-Molina, J. Cho, R. Aranha, and A. Crespo. Extracting semistructure information from the web. In Workshop on mangement of semistructured data, 1997.
12. M. A. Hernandez and S. J. Stolfo. The merge/purge problem for large databases. In Proceedings of the ACM SIGMOD, 1995.
13. C.-N. Hsu and M.-T. Dung. Generating finite-state transducers for semistructured data extraction from the web. Information Systems Special Issue on Semistructured Data, 23(8), 1998.
14. S. Huffman. Learning information extraction patterns from examples. In S. Wermter, G. Scheler, and E. Riloff, editors, Proceedings of the 1995 IJCAI Workshop on New Approaches to Learning for Natural Language Processing., 1995.
15. R. Kimball. Dealing with dirty data. Intelligent Enterprise, September 1996. http://www.intelligententerprise.com/.
16. J. Kupiec. Robust part of speech tagging using a hidden Markov model. Computer Speech and Language, 6:225-242, 1992.
17. N. Kushmerick, D. Weld, and R. Doorenbos. Wrapper induction for information extraction. In Proceedings of IJCAI, 1997.
18. P.-S. Laplace. Philosophical Essays on Probabilities. Springer-Verlag, New York, 1995. Translated by A. I. Dale from the 5th French edition of 1825.
19. S. Lawrence, C. L. Giles, and K. Bollacker. Digital libraries and autonomous citation indexing. IEEE Computer, 32(6):67-71, 1999.
20. L. Liu, C. Pu, and W. Han. Xwrap: An xml-enabled wrapper construction system for web information sources. In International Conference on Data Engineering (ICDE), pages 611-621, 2000.
21. A. McCallum, D. Freitag, and F. Pereira". Maximum entropy markov models for information extraction and segmentation. In In proceedings of ICML-2000, 2000.
22. G. Mecca, P. Merialdo, and P. Atzeni. Araneus in the era of xml. In IEEE Data Engineering Bullettin, Special Issue on XML. IEEE, September 1999.
23. A. E. Monge and C. P. Elkan. The field matching problem: Algorithms and applications. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996.
24. I. Muslea. Extraction patterns for information extraction tasks: A survey. In The AAAI-99 Workshop on Machine Learning for Information Extraction, 1999.
25. I. Muslea, S. Minton, and C. A. Knoblock. A hierarchical approach to wrapper induction. In Proceedings of the Third International Conference on Autonomous Agents, Seattle, WA, 1999.
26. L. Rabiner. A tutorial on Hidden Markov Models and selected applications in speech recognition. In Proceedings of the IEEE, 77(2), 1989.
27. L. Rabiner and B.-H. Juang. Fundamentals of Speech Recognition, chapter 6. Prentice-Hall, 1993.
28. K. Seymore, A. McCallum, and R. Rosenfeld. Learning Hidden Markov Model structure for information extraction. In Papers from the AAAI-99 Workshop on Machine Learning for Information Extraction, pages 37-42, 1999.
29. S. Soderland. Learning information extraction rules for semi-structured and free text. Machine Learning, 34, 1999.