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Volumn , Issue , 1999, Pages 168-178

A Learning Approach to Shallow Parsing

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84968338392     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (17)
  • 1
    • 0002165449 scopus 로고
    • Parsing by chunks
    • S. P. Abney, R. C. Berwick and C. Tenny, editors, pages Kluwer, Dordrecht
    • S. P. Abney. 1991. Parsing by chunks. In S. P. Abney, R. C. Berwick and C. Tenny, editors, Principle-based parsing: Computation and Psycholinguistics, pages 257-278. Kluwer, Dordrecht.
    • (1991) Principle-based parsing: Computation and Psycholinguistics , pp. 257-278
    • Abney, S. P.1
  • 3
    • 0007563290 scopus 로고
    • Learning boolean functions in an infinite attribute space
    • October
    • A. Blum. 1992. Learning boolean functions in an infinite attribute space. Machine Learning, 9(4):373-386, October.
    • (1992) Machine Learning , vol.9 , Issue.4 , pp. 373-386
    • Blum, A.1
  • 4
    • 84867919822 scopus 로고
    • Transformation-based error-driven learning and natural language processing: A case study in part of speech tagging
    • E. Brill. 1995. Transformation-based error-driven learning and natural language processing: A case study in part of speech tagging. Computational Linguistics, 21 (4): 543-565.
    • (1995) Computational Linguistics , vol.21 , Issue.4 , pp. 543-565
    • Brill, E.1
  • 5
    • 85146985767 scopus 로고    scopus 로고
    • Error-driven pruning of treebanks grammars for base noun phrase identification
    • C. Cardie and D. Pierce. 1998. Error-driven pruning of treebanks grammars for base noun phrase identification. In Proceedings of ACL-98, pages 218-224.
    • (1998) Proceedings of ACL-98 , pp. 218-224
    • Cardie, C.1    Pierce, D.2
  • 9
    • 0038405955 scopus 로고
    • Co-occurrence and transformation in linguistic structure
    • Z. S. Harris. 1957. Co-occurrence and transformation in linguistic structure. Language, 33(3):283-340.
    • (1957) Language , vol.33 , Issue.3 , pp. 283-340
    • Harris, Z. S.1
  • 11
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • N. Littlestone. 1988. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2:285-318.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 12
    • 0000511449 scopus 로고
    • Redundant noisy attributes, attribute errors, and linear threshold learning using Winnow
    • San Mateo, CA. Morgan Kaufmann
    • N. Littlestone. 1991. Redundant noisy attributes, attribute errors, and linear threshold learning using Winnow. In Proc. 4th Annu. Workshop on Comput. Learning Theory, pages 147-156, San Mateo, CA. Morgan Kaufmann.
    • (1991) Proc. 4th Annu. Workshop on Comput. Learning Theory , pp. 147-156
    • Littlestone, N.1
  • 13
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The Penn Treebank
    • June
    • M. P. Marcus, B. Santorini, and M. Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19(2):313-330, June.
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M. P.1    Santorini, B.2    Marcinkiewicz, M.3
  • 16
    • 0031632815 scopus 로고    scopus 로고
    • Learning to resolve natural language ambiguities: A unified approach
    • D. Roth. 1998. Learning to resolve natural language ambiguities: A unified approach. In Proc. National Conference on Artificial Intelligence, pages 806-813.
    • (1998) Proc. National Conference on Artificial Intelligence , pp. 806-813
    • Roth, D.1
  • 17
    • 0002632217 scopus 로고    scopus 로고
    • Technical Report UIUCDCS-R-99-2101, UIUC Computer Science Department, May
    • D. Roth. 1999. The SNoW learning architecture. Technical Report UIUCDCS-R-99-2101, UIUC Computer Science Department, May.
    • (1999) The SNoW learning architecture
    • Roth, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.