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Volumn 3406, Issue , 2005, Pages 657-669

Automatic extraction and learning of keyphrases from scientific articles

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; FILTRATION; INFORMATION RETRIEVAL; LEARNING SYSTEMS;

EID: 24344441635     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30586-6_74     Document Type: Conference Paper
Times cited : (59)

References (27)
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  • 2
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    • Edmundson, H.P.1
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    • Automatic syntactic analysis for detection of word combinations
    • Proc. CICLing-2004: Intelligent Text Processing and Computational Linguistics, Mexico, Springer-Verlag, Berlin Heidelberg New York
    • Gelbukh, A., Sidorov, G., Han, S.-Y., Hernandez-Rubio, E.: Automatic Syntactic Analysis for Detection of Word Combinations. Proc. CICLing-2004: Intelligent Text Processing and Computational Linguistics, Mexico, Lecture Notes in Computer Science 2945, Springer-Verlag, Berlin Heidelberg New York (2004) 243-247
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  • 9
    • 8344226845 scopus 로고    scopus 로고
    • Automatic extraction of keywords from abstracts
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    • HaCohen-Kerner, Y.1
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    • Phraserate: An HTML keyphrase extractor
    • University of California, Riverside, Riverside, California
    • Humphreys, K.J.B.: Phraserate: An HTML Keyphrase Extractor. Technical report, University of California, Riverside, Riverside, California (2002)
    • (2002) Technical Report
    • Humphreys, K.J.B.1
  • 15
    • 0036603927 scopus 로고    scopus 로고
    • Automatic extraction of document keyphrases for use in digital libraries: Evaluation and applications
    • Jones, S., Paynter, G.W.: Automatic Extraction of Document Keyphrases for Use in Digital Libraries: Evaluation and Applications, Journal of the American Society for Information Science and Technology, 53(8) (2002) 653-677
    • (2002) Journal of the American Society for Information Science and Technology , vol.53 , Issue.8 , pp. 653-677
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  • 17
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    • The automatic creation of literature abstracts
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  • 19
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    • Automatic text summarization using a machine learning approach
    • Neto, J.L., Freitas, A.A., Kaestner, C.A.A.: Automatic Text Summarization Using a Machine Learning Approach. Proc. SBIA (2002) 205-215
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    • Learning algorithms for keyphrase extraction
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    • (2004)
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    • Zhang, Y., Milios, E., Zincir-Heywood, N.: A Comparison of Keyword- and Keyterm-based Methods for Automatic Web Site Summarization, in Technical Report WS-04-01, Papers from the on Adaptive Text Extraction and Mining, San Jose, CA, (2004) 15-20
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    • Zhang, Y.1    Milios, E.2    Zincir-Heywood, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.