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Volumn , Issue , 2006, Pages 297-304

Discriminative sentence compression with soft syntactic evidence

Author keywords

[No Author keywords available]

Indexed keywords

BIGRAMS; CALCULATING MODEL; FEATURE SETS; GOLD STANDARDS; LARGE-MARGIN LEARNING; PARSE TREES; SENTENCE COMPRESSION; SYNTACTIC REPRESENTATION;

EID: 84893398389     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (158)

References (10)
  • 1
    • 85036148712 scopus 로고    scopus 로고
    • A maximum-entropy-inspired parser
    • E. Charniak. 2000. A maximum-entropy-inspired parser. In Proc. NAACL.
    • (2000) Proc. NAACL
    • Charniak, E.1
  • 2
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
    • M. Collins. 2002. Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In Proc. EMNLP.
    • (2002) Proc. EMNLP
    • Collins, M.1
  • 3
    • 0141496132 scopus 로고    scopus 로고
    • Ultraconservative online algorithms for multiclass problems
    • K. Crammer and Y. Singer. 2003. Ultraconservative online algorithms for multiclass problems. JMLR.
    • (2003) JMLR
    • Crammer, K.1    Singer, Y.2
  • 4
    • 10644277499 scopus 로고    scopus 로고
    • Statistical-based summarization - Step one: Sentence compression
    • K. Knight and D. Marcu. 2000. Statistical-based summarization - step one: Sentence compression. In Proc. AAAI 2000.
    • (2000) Proc. AAAI 2000
    • Knight, K.1    Marcu, D.2
  • 5
    • 44449094045 scopus 로고    scopus 로고
    • Flexible text segmentation with structured multilabel classifi cation
    • R. McDonald, K. Crammer, and F. Pereira. 2005a. Flexible text segmentation with structured multilabel classifi cation. In Proc. HLT-EMNLP.
    • (2005) Proc. HLT-EMNLP
    • McDonald, R.1    Crammer, K.2    Pereira, F.3
  • 6
    • 84859925125 scopus 로고    scopus 로고
    • Online large-margin training of dependency parsers
    • R. McDonald, K. Crammer, and F. Pereira. 2005b. Online large-margin training of dependency parsers. In Proc. ACL.
    • (2005) Proc. ACL
    • McDonald, R.1    Crammer, K.2    Pereira, F.3
  • 7
    • 33646414611 scopus 로고    scopus 로고
    • Statistical sentence condensation using ambiguity packing and stochastic disambiguation methods for lexical-functional grammar
    • S. Riezler, T. H. King, R. Crouch, and A. Zaenen. 2003. Statistical sentence condensation using ambiguity packing and stochastic disambiguation methods for lexical-functional grammar. In Proc. HLTNAACL.
    • (2003) Proc. HLTNAACL
    • Riezler, S.1    King, T.H.2    Crouch, R.3    Zaenen, A.4
  • 8
    • 34047192804 scopus 로고    scopus 로고
    • Semi-Markov conditional random fi elds for information extraction
    • S. Sarawagi and W. Cohen. 2004. Semi-Markov conditional random fi elds for information extraction. In Proc. NIPS.
    • (2004) Proc. NIPS
    • Sarawagi, S.1    Cohen, W.2
  • 9
    • 85043116988 scopus 로고    scopus 로고
    • Shallow parsing with conditional random fi elds
    • F. Sha and F. Pereira. 2003. Shallow parsing with conditional random fi elds. In Proc. HLT-NAACL, pages 213-220.
    • (2003) Proc. HLT-NAACL , pp. 213-220
    • Sha, F.1    Pereira, F.2
  • 10
    • 84859919694 scopus 로고    scopus 로고
    • Supervised and un-supervised learning for sentence compression
    • J. Turner and E. Charniak. 2005. Supervised and un-supervised learning for sentence compression. In Proc. ACL.
    • (2005) Proc. ACL
    • Turner, J.1    Charniak, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.