Efficient text chunking using linear kernel with masked method

Knowledge-Based Systems

Volumn 20, Issue 3, 2007, Pages 209-219

  Wu, Yu Chieh ^a   Chang, Chia Hui ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Masked method; Shallow parsing; Support vector machines; Text chunking

Indexed keywords

DATA REDUCTION; POLYNOMIALS; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

MASKED METHOD; SHALLOW PARSING; TEXT CHUNKING;

TEXT PROCESSING;

EID: 33947366930     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2006.04.016     Document Type: Article

References (34)

1. S. Abney, Parsing by chunks, in: Principle-Based Parsing: Computation and Psycholinguistics, 1991, pp. 257-278.
2. Brill E. Transformation-based error-driven learning and natural language processing: a case study in part of speech tagging. Comput. Linguist. 21 4 (1995) 543-565
3. X. Carreras, L. Marquez, Phrase recognition by filtering and ranking with perceptrons, in: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), 2003, pp. 205-216.
4. Carreras X., Marquez L., and Castro J. Filtering-ranking perceptron learning for partial parsing. Mach. Learn. J. 60 (2005) 41-71
5. X. Carreras, L. Marquez, Introduction to the CoNLL-2004 shared task: semantic role labeling, in: Proceedings of Conference on Natural Language Learning (CoNLL), 2004, pp. 89-97.
6. Cristianini N., and Shawe-Taylor J. An introduction to support vector machines and other kernel-based learning methods (2000), Cambridge University Press, Cambridge
7. W. Daelemans, Memory-based lexical acquisition and processing, in: Proceedings of the 3rd International EAMT Workshop on Machine Translation and the Lexicon, 1995, pp. 85-98.
8. W. Daelemans, J. Zavrel, K. van der Sloot, A. van den Bosch, TiMBL Tilburg memory based learner, version 3.0, Reference Guide.ILK Technical Report 00-01, 2000.
9. W. Daelemans, J. Zavrel, P. Berck, S. Gillis, TiMBLL MBT: a memory-mased part of speech tagger-generator, in: Proceedings of Workshop on Very Large Corpora (WVLC), 1996, pp. 14-27.
10. R. Florian, A. Ittycheriah, H. Jing, T. Zhang, Named Entity Recognition through Classifier Combination, in: Proceedings of Conference on Natural Language Learning (CoNLL), 2003, pp. 168-171.
11. J. Giménez, L. Márquez, Fast and accurate Part-of-Speech tagging: the SVM approach revisited, in: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), 2003, pp. 158-165.
12. H. van Halteren, Chunking with WPDV Models, in: Proceedings of Conference on Natural Language Learning (CoNLL), 2000, pp. 154-156.
13. Halteren H.v., Zavrel J., and Daelemans W. Improving accuracy in word class tagging through the combination of machine learning systems. Comput. Linguist. 27 2 (2001) 199-229
14. T. Joachims, Text categorization with support vector machines: learning with many relevant features, in: Proceedings of the European Conference on Machine Learning, 1998, pp. 137-142.
15. T. Joachims, A statistical learning model of text classification with support vector machines, in: Proceedings of the 24th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2001, pp. 128-136.
16. T. Kudoh, Y. Matsumoto, Use of support vector learning for chunk identification, in: Proceedings of Conference on Natural Language Learning (CoNLL), 2000, pp. 142-144.
17. T. Kudoh, Y. Matsumoto, Chunking with support vector machines, in: Proceedings of the 2nd Meeting of North American Chapter of Association for Computational Linguistics (NAACL), 2001, pp. 192-199.
18. Megesi B. Shallow parsing with PoS taggers and linguistic knowledge. J. Mach. Learn. Res. (2002) 639-668
19. Molina A., and Pla F. Shallow parsing using Specialized HMMs. J. Mach. Learn. Res. (2002) 595-613
20. M. Muñoz, V. Punyakanok, D. Roth, D. Zimak, A learning approach to shallow parsing, in: Proceedings of 1999 Joint SIGDAT Conference on Empirical methods in NLP and Very Large Corpora, 1999, pp. 168-178.
21. T. Nakagawa, T. Kudoh, Y. Matsumoto, Unknown word guessing and Part-of-Speech tagging using support vector machines, in: Proceedings of the 6th Natural Language Processing Pacific Rim Symposium, 2001, pp. 325-331.
22. S. Bae Park, B. Tak Zhang, Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information, J. Inf. Proc. Manage 40 (2004) 421-439.
23. Lance A. Ramshaw, Mitchell P. Marcus, Text chunking using transformation-based learning, in: Proceedings of the ACL 3rd Workshop on Very Large Corpora, 1995, pp. 82-94.
24. H. Schmid, Probabilistic Part-of-Speech tagging using decision trees, in: International Conference on New Methods in Language Processing, 1994, pp. 44-49.
25. Sebastiani F. Machine learning in automated text categorization. J. ACM Comput. Surv. 34 1 (2002) 1-47
26. Tjong Kim Sang E.F. Memory-based shallow parsing. J. Mach. Learn. Res. (2002) 559-594
27. Eric F. Tjong Kim Sang, Transforming a chunker to a parser, in: Computational Linguistics in the Netherlands, 2000a, pp. 177-188.
28. Eric F. Tjong Kim Sang, Text chunking by system combination, in: Proceedings of Conference on Natural Language Learning (CoNLL), 2000b, pp. 151-153.
29. Eric F. Tjong Kim Sang, Sabine Buchholz, Introduction to the CoNLL-2000 shared task: chunking, in: Proceedings of Conference on Natural Language Learning (CoNLL), 2000, pp. 127-132.
30. Erik F. Tjong Kim Sang, Jorn Veenstra, Representing Text Chunks, in: Proceedings of 9th Conference of the European Chapter of the Association for Computational Linguistics, 1999, pp. 173-179.
31. Yang, Hui, Tat-Seng Chua, Shuguang Wang, Chun-Keat Koh, Structural use of external knowledge for event-based open domain question answering, in: Proceedings of the 26th ACM SIGIR conference on research and development in information retrieval, 2003, pp. 33-40.
32. T. Zhang, F. Damerau, D. Johnson, Text chunking using regularized Winnow, in: Proceedings of 39th Annual Meetings of the Association for Computational Linguistics, 2001, pp. 539-546.
33. Zhang T., Damerau F., and Johnson D. Text Chunking based on a Generalization Winnow. J. Mach. Learn. Res. 2 (2002) 615-637
34. G. Dong Zhou, J. Su, Error-driven HMM-based chunk tagger with context-dependent Lexicon, in: Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 2000, pp. 71-79.