메뉴 건너뛰기




Volumn , Issue , 2005, Pages 189-196

Boosting-based parse reranking with subtree features

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84859905769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1219840.1219864     Document Type: Conference Paper
Times cited : (41)

References (20)
  • 1
    • 34547685977 scopus 로고    scopus 로고
    • Optimized substructure discovery for semi-structured data
    • Kenji Abe, Shinji Kawasoe, Tatsuya Asai, Hiroki Arimura, and Setsuo Arikawa. 2002. Optimized substructure discovery for semi-structured data. In Proc. of PKDD, pages 1-14.
    • (2002) Proc. of PKDD , pp. 1-14
    • Abe, K.1    Kawasoe, S.2    Asai, T.3    Arimura, H.4    Arikawa, S.5
  • 3
    • 0009626003 scopus 로고    scopus 로고
    • What is the minimal set of fragments that achieves maximal parse accuracy?
    • Rens Bod. 2001. What is the minimal set of fragments that achieves maximal parse accuracy? In Proc. of ACL, pages 66-73.
    • (2001) Proc. of ACL , pp. 66-73
    • Bod, R.1
  • 4
    • 85036148712 scopus 로고    scopus 로고
    • A maximum-entropy-inspired parser
    • Eugene Charniak. 2000. A maximum-entropy-inspired parser. In Proc. of NAACL, pages 132-139.
    • (2000) Proc. of NAACL , pp. 132-139
    • Charniak, E.1
  • 5
    • 33646057547 scopus 로고    scopus 로고
    • New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron
    • Michael Collins and Nigel Duffy. 2002. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In Proc. of ACL.
    • (2002) Proc. of ACL
    • Collins, M.1    Duffy, N.2
  • 7
    • 0040044720 scopus 로고    scopus 로고
    • Discriminative reranking for natural language parsing
    • Michael Collins. 2000. Discriminative reranking for natural language parsing. In Proc. of ICML, pages 175-182.
    • (2000) Proc. of ICML , pp. 175-182
    • Collins, M.1
  • 8
    • 85045072379 scopus 로고    scopus 로고
    • Ranking algorithms for named-entity extraction: Boosting and the voted perceptron
    • Michael Collins. 2002. Ranking algorithms for named-entity extraction: Boosting and the voted perceptron. In Proc. of ACL, pages 489-496.
    • (2002) Proc. of ACL , pp. 489-496
    • Collins, M.1
  • 10
    • 80053222535 scopus 로고    scopus 로고
    • Chunking with support vector machines
    • Taku Kudo and Yuji Matsumoto. 2001. Chunking with support vector machines. In Proc. of NAACL, pages 192-199.
    • (2001) Proc. of NAACL , pp. 192-199
    • Kudo, T.1    Matsumoto, Y.2
  • 11
    • 84996469094 scopus 로고    scopus 로고
    • A boosting algorithm for classification of semi-structured text
    • Taku Kudo and Yuji Matsumoto. 2004. A boosting algorithm for classification of semi-structured text. In Proc. of EMNLP, pages 301-308.
    • (2004) Proc. of EMNLP , pp. 301-308
    • Kudo, T.1    Matsumoto, Y.2
  • 12
    • 1942418470 scopus 로고    scopus 로고
    • Grafting:Fast, incremental feature selection by gradient descent in function space
    • Simon Perkins, Kevin Lacker, and James Thiler. 2003. Grafting:Fast, incremental feature selection by gradient descent in function space. Journal of Machine Learning Research, 3:1333-1356.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1333-1356
    • Perkins, S.1    Lacker, K.2    Thiler, J.3
  • 13
    • 0004311187 scopus 로고    scopus 로고
    • Ph.D. thesis, Department of Computer Science, University of Potsdam
    • Gunnar. Rätsch. 2001. Robust Boosting via Convex Optimization. Ph.D. thesis, Department of Computer Science, University of Potsdam.
    • (2001) Robust Boosting Via Convex Optimization
    • Rätsch, G.1
  • 14
    • 0002595663 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee. 1997. Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. of ICML, pages 322-330.
    • (1997) Proc. of ICML , pp. 322-330
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.3    Lee, W.S.4
  • 15
    • 85043116988 scopus 로고    scopus 로고
    • Shallow parsing with conditional random fields
    • Fei Sha and Fernando Pereira. 2003. Shallow parsing with conditional random fields. In Proc. of HLT-NAACL, pages 213-220.
    • (2003) Proc. of HLT-NAACL , pp. 213-220
    • Sha, F.1    Pereira, F.2
  • 18
    • 12244312166 scopus 로고    scopus 로고
    • The complexity of mining maximal frequent itemsets and maximal frequent patterns
    • Guizhen Yang. 2004. The complexity of mining maximal frequent itemsets and maximal frequent patterns. In Proc. of SIGKDD.
    • (2004) Proc. of SIGKDD
    • Yang, G.1
  • 19
    • 0242709382 scopus 로고    scopus 로고
    • Efficiently mining frequent trees in a forest
    • Mohammed Zaki. 2002. Efficiently mining frequent trees in a forest. In Proc. of SIGKDD, pages 71-80.
    • (2002) Proc. of SIGKDD , pp. 71-80
    • Zaki, M.1
  • 20
    • 0347617360 scopus 로고    scopus 로고
    • Text Chunking based on a Generalization of Winnow
    • DOI 10.1162/153244302320884560
    • Tong Zhang, Fred Damerau, and David Johnson. 2002. Text chunking based on a generalization of winnow. Journal of Machine Learning Research, 2:615-637. (Pubitemid 135712575)
    • (2002) Journal of Machine Learning Research , vol.2 , Issue.4 , pp. 615-637
    • Zhang, T.1    Damerau, F.2    Johnson, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.