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Volumn 4702 LNAI, Issue , 2007, Pages 629-637

Semantic text classification of emergent disease reports

Author keywords

Semantic text classification

Indexed keywords

FEATURE EXTRACTION; INFORMATION RETRIEVAL; LEARNING SYSTEMS; MATHEMATICAL MODELS; SEMANTICS; TEXT PROCESSING;

EID: 38049166106     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74976-9_67     Document Type: Conference Paper
Times cited : (7)

References (13)
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    • Aizawa, A.: Linguistic techniques to improve the performance of automatic text categorization. NLPRS-01 (2001)
  • 3
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    • Hulth, A., Megyesi, B.: A Study on Automatically Extracted Keywords in Text Categorization. In: ACL-06 (2006)
    • Hulth, A., Megyesi, B.: A Study on Automatically Extracted Keywords in Text Categorization. In: ACL-06 (2006)
  • 4
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    • Ko, Y., Park, J., Seo, J.: Improving text categorization using the importance of sentences. Info. Proc. and Manag. 40(1), 65-79 (2004)
    • Ko, Y., Park, J., Seo, J.: Improving text categorization using the importance of sentences. Info. Proc. and Manag. 40(1), 65-79 (2004)
  • 5
    • 38049171568 scopus 로고    scopus 로고
    • Kudo, T., Matsumoto, Y.: A boosting algorithm for classification of semi-structured text. In: EMNLP-2004 (2004)
    • Kudo, T., Matsumoto, Y.: A boosting algorithm for classification of semi-structured text. In: EMNLP-2004 (2004)
  • 6
    • 1942452361 scopus 로고    scopus 로고
    • Li, C., Wen, J.-R., Li, H.: Text classification using stochastic keyword generation, In: ICML-03 (2003)
    • Li, C., Wen, J.-R., Li, H.: Text classification using stochastic keyword generation, In: ICML-03 (2003)
  • 7
    • 84992162860 scopus 로고    scopus 로고
    • Discovery of Inference Rules for Question Answering
    • Lin, D., Pantel, P.: Discovery of Inference Rules for Question Answering. Nat. Lang. Eng. 7(4) (2001)
    • (2001) Nat. Lang. Eng , vol.7 , Issue.4
    • Lin, D.1    Pantel, P.2
  • 9
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    • Mihalcea, R., Hassan, S.: Using the essence of texts to improve document classification. In: RANLP-2005 (2005)
    • Mihalcea, R., Hassan, S.: Using the essence of texts to improve document classification. In: RANLP-2005 (2005)
  • 10
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    • Moschitti, A., Basili, R.: Complex linguistic features for text classification: A comprehensive study. In: ECIR-04 (2004)
    • Moschitti, A., Basili, R.: Complex linguistic features for text classification: A comprehensive study. In: ECIR-04 (2004)
  • 11
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    • Using bag-of-concepts to improve the performance of support vector machines in text categorization
    • Sahlgren, M., Coster, R.: Using bag-of-concepts to improve the performance of support vector machines in text categorization. In: COLING 2004 (2004)
    • (2004) COLING
    • Sahlgren, M.1    Coster, R.2
  • 12
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    • Machine learning in automated text categorization
    • Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 1-47 (2002)
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  • 13
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    • Yang, Y., Liu, X.: A re-examination of text categorization methods. In: SIGIR-99 (1999)
    • Yang, Y., Liu, X.: A re-examination of text categorization methods. In: SIGIR-99 (1999)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.