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Volumn , Issue , 2007, Pages 552-559

Towards an iterative reinforcement approach for simultaneous document summarization and keyword extraction

Author keywords

[No Author keywords available]

Indexed keywords

CONCISE REPRESENTATIONS; DOCUMENT SUMMARIZATION; KEYWORD EXTRACTION; KNOWLEDGE-BASED APPROACH;

EID: 84856803164     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (161)

References (31)
  • 1
    • 0036989516 scopus 로고    scopus 로고
    • The use of unlabeled data to improve supervised learning for text summarization
    • M. R. Amini and P. Gallinari. 2002. The use of unlabeled data to improve supervised learning for text summarization. In Proceedings of SIGIR2002, 105-112.
    • (2002) Proceedings of SIGIR2002 , pp. 105-112
    • Amini, M.R.1    Gallinari, P.2
  • 2
    • 0038589165 scopus 로고    scopus 로고
    • The anatomy of a large-scale hypertextual Web search engine
    • S. Brin and L. Page. 1998. The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems, 30(1-7).
    • (1998) Computer Networks and ISDN Systems , vol.30 , Issue.1-7
    • Brin, S.1    Page, L.2
  • 3
    • 0032270694 scopus 로고    scopus 로고
    • The use of MMR, diversitybased reranking for reordering documents and producing summaries
    • J. Carbonell and J. Goldstein. 1998. The use of MMR, diversitybased reranking for reordering documents and producing summaries. In Proceedings of SIGIR-1998, 335-336.
    • (1998) Proceedings of SIGIR-1998 , pp. 335-336
    • Carbonell, J.1    Goldstein, J.2
  • 4
  • 6
    • 85055298348 scopus 로고
    • Accurate methods for the statistics of surprise and coincidence
    • T. Dunning. 1993. Accurate methods for the statistics of surprise and coincidence. Computational Linguistics 19, 61-74.
    • (1993) Computational Linguistics , vol.19 , pp. 61-74
    • Dunning, T.1
  • 7
    • 79952259163 scopus 로고    scopus 로고
    • LexPageRank: Prestige in multi-document text summarization
    • G. ErKan and D. R. Radev. 2004. LexPageRank: Prestige in multi-document text summarization. In Proceedings of EMNLP2004.
    • (2004) Proceedings of EMNLP2004
    • Erkan, G.1    Radev, D.R.2
  • 10
    • 0034795521 scopus 로고    scopus 로고
    • Generic text summarization using relevance measure and latent semantic analysis
    • Y. H. Gong and X. Liu. 2001. Generic text summarization using Relevance Measure and Latent Semantic Analysis. In Proceedings of SIGIR2001, 19-25.
    • (2001) Proceedings of SIGIR2001 , pp. 19-25
    • Gong, Y.H.1    Liu, X.2
  • 12
    • 85128484571 scopus 로고    scopus 로고
    • Improved automatic keyword extraction given more linguistic knowledge
    • Japan, August
    • A. Hulth. 2003. Improved automatic keyword extraction given more linguistic knowledge. In Proceedings of EMNLP2003, Japan, August.
    • (2003) Proceedings of EMNLP2003
    • Hulth, A.1
  • 13
    • 4243148480 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • J. M. Kleinberg. 1999. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5):604-632.
    • (1999) Journal of the ACM , vol.46 , Issue.5 , pp. 604-632
    • Kleinberg, J.M.1
  • 17
    • 0038375892 scopus 로고    scopus 로고
    • The automated acquisition of topic signatures for text Summarization
    • C. Y. Lin and E. Hovy. 2000. The automated acquisition of topic signatures for text Summarization. In Proceedings of ACL-2000, 495-501.
    • (2000) Proceedings of ACL-2000 , pp. 495-501
    • Lin, C.Y.1    Hovy, E.2
  • 18
    • 85016508365 scopus 로고    scopus 로고
    • Automatic evaluation of summaries using n-gram co-occurrence statistics
    • Edmonton, Canada, May
    • C.Y. Lin and E.H. Hovy. 2003. Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of HLT-NAACL2003, Edmonton, Canada, May.
    • (2003) Proceedings of HLT-NAACL2003
    • Lin, C.Y.1    Hovy, E.H.2
  • 19
    • 33750693384 scopus 로고    scopus 로고
    • Corpus-based and knowledge-based measures of text semantic similarity
    • R. Mihalcea, C. Corley, and C. Strapparava. 2006. Corpus-based and knowledge-based measures of text semantic similarity. In Proceedings of AAAI-06.
    • (2006) Proceedings of AAAI-06
    • Mihalcea, R.1    Corley, C.2    Strapparava, C.3
  • 21
    • 36348999969 scopus 로고    scopus 로고
    • A language independent algorithm for single and multiple document summarization
    • R. Mihalcea and P.Tarau. 2005. A language independent algorithm for single and multiple document summarization. In Proceedings of IJCNLP2005.
    • (2005) Proceedings of IJCNLP2005
    • Mihalcea, R.1    Tarau, P.2
  • 22
    • 0003370811 scopus 로고    scopus 로고
    • Compound key word generation from document databases using a hierarchical clustering ART model
    • A. Muñoz. 1996. Compound key word generation from document databases using a hierarchical clustering ART model. Intelligent Data Analysis, 1(1).
    • (1996) Intelligent Data Analysis , vol.1 , Issue.1
    • Muñoz, A.1
  • 23
    • 0034785303 scopus 로고    scopus 로고
    • A new approach to unsupervised text summarization
    • T. Nomoto and Y. Matsumoto. 2001. A new approach to unsupervised text summarization. In Proceedings of SIGIR2001, 26-34.
    • (2001) Proceedings of SIGIR2001 , pp. 26-34
    • Nomoto, T.1    Matsumoto, Y.2
  • 28
    • 21844478478 scopus 로고    scopus 로고
    • Learning algorithms for keyphrase extraction
    • P. D. Turney. 2000. Learning algorithms for keyphrase extraction. Information Retrieval, 2:303-336.
    • (2000) Information Retrieval , vol.2 , pp. 303-336
    • Turney, P.D.1
  • 29
    • 0345551404 scopus 로고    scopus 로고
    • Mining the web for synonyms: PMI-IR versus LSA on TOEFL
    • P. Turney. 2001. Mining the web for synonyms: PMI-IR versus LSA on TOEFL. In Proceedings of ECML-2001.
    • (2001) Proceedings of ECML-2001
    • Turney, P.1
  • 31
    • 0036989572 scopus 로고    scopus 로고
    • Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering
    • H. Y. Zha. 2002. Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering. In Proceedings of SIGIR2002, pp. 113-120.
    • (2002) Proceedings of SIGIR2002 , pp. 113-120
    • Zha, H.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.