Memory-Based Shallow Parsing

Journal of Machine Learning Research

Volumn 2, Issue 4, 2002, Pages 559-594

  Tjong Kim Sang, Erik F ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Feature selection; Memory based learning; Shallow parsing; System combination

Indexed keywords

EID: 0348247014     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: 10.1162/153244302320884542     Document Type: Article

References (54)

1. Steven Abney. Parsing By Chunks. In Principle-Based Parsing: Computation and Psycholinguistics, pages 257-278. Kluwer Academic Publishers, 1991.
2. David W. Aha and Richard L. Bankert. Feature Selection for Case-Based Classification of Cloud Types: An Empirical Comparison. In Proceedings of the 1994 AAAI Workshop on Case-Based Reasoning, pages 106-112. Seattle, WA, USA, AAAI Press, 1994.
3. Shlomo Argamon-Engelson, Ido Dagan, and Yuval Krymolowski. A memory-based approach to learning shallow natural language patterns. Journal of Experimental and Theoretical AI, 11(3):369-390, 1999.
4. Michele Banko and Eric Brill. Scaling to Very Very Large Corpora for Natural Language Disambiguation. In Proceedings of ACL 2001, pages 26-33. Toulouse, France, 2001.
5. Rens Bod. Parsing with the Shortest Derivation. In Proceedings of COLING 2000. Saarbruecken, Germany, 2000.
6. Rens Bod. What is the Minimal Set of Fragments that Achieves Maximal Parse Accuracy. In Proceedings of ACL-2001, pages 66-73. Toulouse, France, 2001.
7. Thorsten Brants. Cascaded Markov Models. In Proceedings of EACL'99, pages 118-125. Bergen, Norway, 1999.
8. Eric Brill. Some Advances in Rule-Based Part of Speech Tagging. In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), pages 722-727. Seattle, Washington, 1994.
9. Xavier Carreras and Luís Mà. Boosting Trees for Clause Splitting. In Proceedings of CoNLL-2001, pages 73-75. Toulouse, Prance, 2001.
10. Rich Caruana and Dayne Freitag. Greedy Attribute Selection. In Proceedings of the Eleventh International Conference on Machine Learning, pages 28-36. New Brunswick, NJ, USA, Morgan Kaufman, 1994.
11. Eugene Charniak. Statistical Parsing with a Context-Free Grammar and Word Statistics. In Fourteenth National Conference on Artificial Intelligence, pages 598-603. MIT Press, 1997.
12. Eugene Charniak. A Maximum-Entropy-Inspired Parser. In Proceedings of the ANLP-NAACL 2000, pages 132-139. Seattle, WA, USA. Morgan Kaufman Publishers, 2000.
13. Kenneth Ward Church. A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text. In Second Conference on Applied Natural Language Processing, pages 136-143. Austin, Texas, 1988.
14. Michael Collins. Head-Driven Statistical Models for Natural Language Processing. PhD thesis, University of Pennsylvania, 1999.
15. Michael Collins. Discriminative Reranking for Natural Language Processing. In Proceedings of ICML-2000, pages 175-182. Stanford University, CA, USA. Morgan Kaufmann Publishers, 2000.
16. Walter Daelemans. Memory-Based Lexical Acquisition and Processing. In Machine Translation and the Lexicon, pages 85-98. Springer Lecture Notes in Artificial Intelligence 898, 1995.
17. Walter Daelemans. Memory-Based Language Processing. Introduction to the Special Issue. Journal of Experimental & Theoretical Artificial Intelligence (JETAI), 11(3):287-296, 1999.
18. Walter Daelemans, Steven Gillis, and Gert Durieux. The Acquisition of Stress: A Data-Oriented Approach. Computational Linguistics, 20(3):421-451, 1994.
19. Walter Daelemans, Antal van den Bosch, and Jakub Zavrel. Forgetting Exceptions is Harmful in Language Learning. Machine Learning, 34(1):11-43, 1999.
20. Walter Daelemans, Jakub Zavrel, Ko van der Sloot, and Antal van den Bosch. TiMBL: Tilburg Memory Based Learner, version 3.0, Reference Guide. ILK Technical Report 00-01., 2000. http://ilk.kub.nl/.
21. Hervé Déjean. Learning Syntactic Structures with XML. In Proceedings of CoNLL-2000 and LLL-2000, pages 95-98. Lisbon, Portugal, 2000.
22. Hervé Déjean. Using ALLiS for Clausing. In Proceedings of CoNLL-2001, pages 64-66. Toulouse, France, 2001.
23. Eva Ejerhed and Kenneth W. Church. Finite State Parsing. In Papers from the Seventh Scandinavian Conference of Linguistics, pages 410-432. University of Helsinki, Finland, 1983.
24. James Hammerton. Clause identification with Long Short-Term Memory. In Proceedings of CoNLL-2001, pages 61-63. Toulouse, France, 2001.
25. Veronique Hoste, Steven Gillis, and Walter Daelemans. Machine Learning for Modeling Dutch Pronunciation Variation. In Computational Linguistics in the Netherlands 1999, pages 73-83. Utrecht Institute of Linguistics, 2000.
26. George H. John, Ron Kohavi, and Karl Pfleger. Irrelevant Features and the Subset Selection Problem. In Proceedings of the Eleventh International Conference on Machine Learning, pages 121-129. New Brunswick, NJ, USA, Morgan Kaufman, 1994.
27. Yuval Krymolowski and Ido Dagan. Incorporating Compositional Evidence in Memory-Based Partial Parsing. In Proceedings of ACL 2000, pages 45-52. Hong Kong, 2000.
28. Taku Kudoh and Yuji Matsumoto. Use of Support Vector Learning for Chunk Identification. In Proceedings of CoNLL-2000 and LLL-2000, pages 142-144. Lisbon, Portugal, 2000.
29. Taku Kudoh and Yuji Matsumoto. Chunking with Support Vector Machines. In Proceedings of NAACL 2001. Pittsburgh, PA, USA, 2001.
30. David M. Magerman. Statistical Decision-Tree Models for Parsing. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL'95), pages 276-283. Cambridge, MA, USA, 1995.
31. Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. Building a Large Annotated Corpus of English: The Penn Treebank. Computational Linguistics, 19(2): 331-330, 1993.
32. Antonio Molina and Ferran Pla. Clause Detection using HMM. In Proceedings of CoNLL-2001, pages 70-72. Toulouse, France, 2001.
33. Marcia Muñoz, Vasin Punyakanok, Dan Roth, and Dav Zimak. A Learning Approach to Shallow Parsing. In Proceedings of EMNLP- WVLC'99, pages 168-178. Association for Computational Linguistics, 1999.
34. Eric W. Noreen. Computer-Intensive Methods for Testing Hypotheses. John Wiley & Sons, 1989.
35. Miles Osborne. MDL-based DCG Induction for NP Identification. In Proceedings of CoNLL-99, pages 61-68. Bergen, Norway, 1999.
36. Jon D. Patrick and Ishaan Goyal. Boosted Decision Graphs for NLP Learning Tasks. In Proceedings of CoNLL-2001, pages 58-60. Toulouse, France, 2001.
37. Lance A. Ramshaw and Mitchell P. Marcus. Text Chunking Using Transformation-Based Learning. In Proceedings of the Third ACL Workshop on Very Large Corpora, pages 82-94. Cambridge, MA, USA, 1995.
38. Adwait Ratnaparkhi. A Maximum Entropy Model for Part-Of-Speech Tagging. In Proceedings of EMNLP-96, pages 133-142. University of Pennsylvania, PA, USA, 1996.
39. Adwait Ratnaparkhi. Maximum Entropy Models for Natural Language Ambiguity Resolution. PhD thesis Computer and Information Science, University of Pennsylvania, 1998.
40. Erik F. Tjong Kim Sang. Noun Phrase Recognition by System Combination. In Proceedings of the ANLP-NAACL 2000, pages 50-55. Seattle, Washington, USA. Morgan Kaufman Publishers, 2000a.
41. Erik F. Tjong Kim Sang. Text Chunking by System Combination. In Proceedings of CoNLL-2000 and LLL-2000, pages 151-153. Lisbon, Portugal, 2000b.
42. Erik F. Tjong Kim Sang. Memory-Based Clause Identification. In Proceedings of CoNLL-2001, pages 67-69. Toulouse, France, 2001a.
43. Erik F. Tjong Kim Sang. Transforming a Chunker to a Parser. In Computational Linguistics in the Netherlands 2000, pages 177-188. Tilburg, The Netherlands, 2001b.
44. Erik F. Tjong Kim Sang and Sabine Buchholz. Introduction to the CoNLL-2000 Shared Task: Chunking. In Proceedings of CoNLL-2000 and LLL-2000, pages 127-132. Lisbon, Portugal, 2000.
45. Erik F. Tjong Kim Sang, Walter Daelemans, Hervé Déjean, Rob Koeling, Yuval Krymolowski, Vasin Punyakanok, and Dan Roth. Applying System Combination to Base Noun Phrase Identification. In Proceedings of COLING 2000, pages 857-863. Saarbruecken, Germany, 2000.
46. Erik F. Tjong Kim Sang and Hervé Déjean. Introduction to the CoNLL-2001 Shared Task: Clause Identification. In Proceedings of CoNLL-2001, pages 53-57. Toulouse, France, 2001.
47. Erik F. Tjong Kim Sang and Jorn Veenstra. Representing Text Chunks. In Proceedings of EACL'99, pages 173-179. Bergen, Norway, 1999.
48. Hans van Halteren. Chunking with WPDV Models. In Proceedings of CoNLL-2000 and LLL-2000, pages 154-156. Lisbon, Portugal, 2000.
49. Hans van Halteren, Jakub Zavrel, and Walter Daelemans. Improving Accuracy in Word Class Tagging through the Combination of Machine Learning Systems. Computational Linguistics, 27(3):199-229, 2001.
50. C.J. van Rijsbergen. Information Retrieval. Buttersworth, 1975.
51. Sholom M. Weiss and Casimir A. Kulikowski. Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems. Morgan Kaufmann, 1991.
52. Alexander Yeh. More accurate tests for the statistical significance of result differences. In Proceedings of the 18th International Conference on Computational Linguistics (COLING 2000), pages 947-953. Saarbruecken, Germany, 2000.
53. Tong Zhang, Fred Damerau, and David Johnson. Text Chunking using Regularized Winnow. In Proceedings of ACL 2001, pages 539-546. Toulouse, France, 2001.
54. GuoDong Zhou, Jian Su, and TongGuan Tey. Hybrid Text Chunking. In Proceedings of CoNLL-2000 and LLL-2000, pages 163-166. Lisbon, Portugal, 2000.