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Volumn , Issue , 2003, Pages 1-8

Improving summarization performance by sentence compression – A pilot study

Author keywords

Evaluation; Sentence compression; Sentence extraction; Text summarization

Indexed keywords

INFORMATION RETRIEVAL; SEARCH ENGINES;

EID: 85119419364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (62)

References (28)
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    • Producing Intelligent Telegraphic Text Reduction to Provide an Audio Scanning Service for the Blind
    • Stanford University, CA, USA
    • G. Grefenstette. 1998. Producing Intelligent Telegraphic Text Reduction to Provide an Audio Scanning Service for the Blind. In Working Notes of the AAAI Spring Symposium on Intelligent Text Summarization, Stanford University, CA, USA, 111–118.
    • (1998) Working Notes of the AAAI Spring Symposium on Intelligent Text Summarization , pp. 111-118
    • Grefenstette, G.1
  • 11
    • 0003089470 scopus 로고    scopus 로고
    • Automatic Text Summarization in SUMMARIST
    • I. Mani and M. Maybury (eds), MIT Press
    • E. Hovy and C.-Y. Lin. 1999. Automatic Text Summarization in SUMMARIST. In I. Mani and M. Maybury (eds), Advances in Automatic Text Summarization, 81–94. MIT Press.
    • (1999) Advances in Automatic Text Summarization , pp. 81-94
    • Hovy, E.1    Lin, C.-Y.2
  • 13
    • 10644277499 scopus 로고    scopus 로고
    • Statistics-Based Summarization – Step One: Sentence Compression
    • Austin, TX, USA
    • K. Knight and D. Marcu. 2000. Statistics-Based Summarization – Step One: Sentence Compression. In Proceedings of AAAI-2000, Austin, TX, USA.
    • (2000) Proceedings of AAAI-2000
    • Knight, K.1    Marcu, D.2
  • 21
    • 0000032427 scopus 로고    scopus 로고
    • Discourse trees are good indicators of importance in text
    • I. Mani and M. Maybury (eds), MIT Press
    • D. Marcu. 1999. Discourse trees are good indicators of importance in text. In I. Mani and M. Maybury (eds), Advances in Automatic Text Summarization, 123–136. MIT Press.
    • (1999) Advances in Automatic Text Summarization , pp. 123-136
    • Marcu, D.1
  • 24
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    • Introduction to DUC-2002: an Intrinsic Evaluation of Generic News Text Summarization Systems
    • Philadelphia, PA, USA
    • P. Over and W. Liggett. 2002. Introduction to DUC-2002: an Intrinsic Evaluation of Generic News Text Summarization Systems. In Proceedings of Workshop on Automatic Summarization (DUC 2002), Philadelphia, PA, USA. http://www-nlpir.nist.gov/projects/duc/pubs/2002slides/overview.02.pdf
    • (2002) Proceedings of Workshop on Automatic Summarization (DUC 2002)
    • Over, P.1    Liggett, W.2
  • 26
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    • Generating Natural Language Summaries from Multiple On-line Sources
    • D.R. Radev and K.R. McKeown. 1998. Generating Natural Language Summaries from Multiple On-line Sources. Computational Linguistics, 24(3):469–500.
    • (1998) Computational Linguistics , vol.24 , Issue.3 , pp. 469-500
    • Radev, D.R.1    McKeown, K.R.2
  • 27
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    • A Robust Practical Text Summarizer
    • B, Wise I. Mani and M. Maybury (eds), MIT Press
    • T. Strzalkowski, G. Stein, J. Wang, and B, Wise. A Robust Practical Text Summarizer. 1999. In I. Mani and M. Maybury (eds), Advances in Automatic Text Summarization, 137–154. MIT Press.
    • (1999) Advances in Automatic Text Summarization , pp. 137-154
    • Strzalkowski, T.1    Stein, G.2    Wang, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.