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Volumn 2, Issue 4, 2002, Pages 695-719

Shallow Parsing using Noisy and Non-Stationary Training Material

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EID: 0346986305     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: 10.1162/153244302320884597     Document Type: Article
Times cited : (12)

References (27)
  • 1
    • 0000492326 scopus 로고
    • Learning from Noisy Examples
    • Dana Angluin and Philip Laird. Learning from Noisy Examples. Machine Learning, 2(4): 343-370, 1988.
    • (1988) Machine Learning , vol.2 , Issue.4 , pp. 343-370
    • Angluin, D.1    Laird, P.2
  • 2
    • 0027873988 scopus 로고
    • General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting
    • IEEE Computer Society Press, Los Alamitos, CA. URL citeseer.nj.nec.com/aslam93general.html
    • Javed A. Aslam and Scott E. Decatur. General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting. In Proc. of the 34rd Annual Symposium on Foundations of Computer Science, pages 282-291. IEEE Computer Society Press, Los Alamitos, CA, 1993. URL citeseer.nj.nec.com/aslam93general.html.
    • (1993) Proc. of the 34rd Annual Symposium on Foundations of Computer Science , pp. 282-291
    • Aslam, J.A.1    Decatur, S.E.2
  • 3
    • 0345570094 scopus 로고    scopus 로고
    • Scaling to Very Very Large Corpora for Natural Language Disambiguation
    • Toulouse
    • Michele Banko and Eric Brill. Scaling to Very Very Large Corpora for Natural Language Disambiguation. In Proceedings of ACL 2001, Toulouse, 2001.
    • (2001) Proceedings of ACL 2001
    • Banko, M.1    Brill, E.2
  • 5
    • 0002184557 scopus 로고
    • A simple rule-based part-of-speech tagger
    • Trento, IT. URL citeseer.nj.nec.com/article/brill92simple.html.
    • rd Conference on Applied Natural Language Processing, pages 152-155, Trento, IT, 1992. URL citeseer.nj.nec.com/article/brill92simple.html.
    • (1992) rd Conference on Applied Natural Language Processing , pp. 152-155
    • Brill, E.1
  • 7
    • 0347606576 scopus 로고    scopus 로고
    • Combining error-driven pruning and classification for partial parsing
    • Morgan Kaufmann, San Francisco, CA. URL citeseer.nj.nec.com/cardie99combining.html
    • th International Conference on Machine Learning, pages 87-96. Morgan Kaufmann, San Francisco, CA, 1999. URL citeseer.nj.nec.com/cardie99combining.html.
    • (1999) th International Conference on Machine Learning , pp. 87-96
    • Cardie, C.1    Mardis, S.2    Pierce, D.3
  • 10
    • 0009442434 scopus 로고
    • Generalization performance of backpropagation learning on a syllabification task
    • URL citeseer.nj.nec.com/daelemans92generalization.html
    • W. Daelemans and A. van den Bosch. Generalization performance of backpropagation learning on a syllabification task. In Proceedings of the 3rd Twente Workshop on Language Technology, 1992. URL citeseer.nj.nec.com/daelemans92generalization.html.
    • (1992) Proceedings of the 3rd Twente Workshop on Language Technology
    • Daelemans, W.1    Van den Bosch, A.2
  • 11
    • 0032624182 scopus 로고    scopus 로고
    • Forgetting Exceptions is Harmful in Language Learning
    • URL citeseer.nj.nec.com/daelemans99forgetting.html
    • Walter Daelemans, Antal Van Den Bosch, and Jakub Zavrel. Forgetting Exceptions is Harmful in Language Learning. Machine Learning, 34:11, 1999b. URL citeseer.nj.nec.com/daelemans99forgetting.html.
    • (1999) Machine Learning , vol.34 , pp. 11
    • Daelemans, W.1    Van Den Bosch, A.2    Zavrel, J.3
  • 13
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble Methods in Machine Learning
    • J. Kittler and F. Roli, editors, Lecture Notes in Computer Science, New York, Springer Verlag
    • T. G. Dietterich. Ensemble Methods in Machine Learning. In J. Kittler and F. Roli, editors, First International Workshop on Multiple Classifier Systems, Lecture Notes in Computer Science, pages 1-15, New York, 1999. Springer Verlag.
    • (1999) First International Workshop on Multiple Classifier Systems , pp. 1-15
    • Dietterich, T.G.1
  • 16
    • 84945520073 scopus 로고    scopus 로고
    • Use of Support Vector Learning for Chunk Identificatio
    • Lisbon
    • Taku Kudoh and Yuji Matsumoto. Use of Support Vector Learning for Chunk Identificatio. In Proceedings of CoNLL-2000 and LLL-2000, Lisbon, 2000. http://lcg-www.uia.ac.be/conll2000/chunking/.
    • (2000) Proceedings of CoNLL-2000 and LLL-2000
    • Kudoh, T.1    Matsumoto, Y.2
  • 17
    • 34249852033 scopus 로고
    • Building a Large Annotated Corpus of English: The Penn Treebank
    • URL citeseer.nj.nec.com/marcus93building.html
    • M. Marcus, S. Santorini, and M. Marcinkiewicz. Building a Large Annotated Corpus of English: the Penn Treebank. Computational Linguistics, 19(2):313-330, 1993. URL citeseer.nj.nec.com/marcus93building.html.
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.1    Santorini, S.2    Marcinkiewicz, M.3
  • 18
    • 0348236660 scopus 로고    scopus 로고
    • Shallow Parsing as Part-of-Speech Tagging
    • Lisbon
    • Miles Osborne. Shallow Parsing as Part-of-Speech Tagging. In Proceedings of CoNLL-2000 and LLL-2000, Lisbon, 2000. http://lcg-www.uia.ac.be/conll2000/chunking/.
    • (2000) Proceedings of CoNLL-2000 and LLL-2000
    • Osborne, M.1
  • 20
    • 38049153240 scopus 로고    scopus 로고
    • A Maximum Entropy Part-Of-Speech Tagger
    • University of Pennsylvania, May Tagger
    • Adwait Ratnaparkhi. A Maximum Entropy Part-Of-Speech Tagger. In Proceedings of Empirical Methods in Natural Language, University of Pennsylvania, May 1996. Tagger: ftp://ftp.cis.upenn.edu/pub/adwait/jmx.
    • (1996) Proceedings of Empirical Methods in Natural Language
    • Ratnaparkhi, A.1
  • 21
    • 0001259758 scopus 로고
    • Overfitting Avoidance as Bias
    • Cullen Schaffer. Overfitting Avoidance as Bias. Machine Learning, 10:153-178, 1993.
    • (1993) Machine Learning , vol.10 , pp. 153-178
    • Schaffer, C.1
  • 24
  • 26
    • 0004000055 scopus 로고
    • No Free Lunch Theorems for Search
    • URL citeseer.nj.nec.com/wolpert95no.html
    • David H. Wolpert and William G. Macready. No Free Lunch Theorems for Search. Technical Report SFI-TR-95-02-010, 1995. URL citeseer.nj.nec.com/wolpert95no.html.
    • (1995) Technical Report SFI-TR-95-02-010
    • Wolpert, D.H.1    Macready, W.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.