메뉴 건너뛰기




Volumn , Issue , 2008, Pages 255-266

A hybrid approach for taxonomy learning from text

Author keywords

Knowledge acquisition; Relevance feedback; Taxonomy learning

Indexed keywords

KNOWLEDGE ACQUISITION; TAXONOMIES;

EID: 84855385335     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-7908-2084-3_21     Document Type: Conference Paper
Times cited : (1)

References (16)
  • 3
    • 31144459206 scopus 로고    scopus 로고
    • Learning concept hierarchies from text corpora using formal concept analysis
    • CIMIANO, P., HOTHO, A., and STAAB, S. (2005): Learning concept hierarchies from text corpora using formal concept analysis, In: J. Artif. Intell. Res. (JAIR), 24, 305-339.
    • (2005) J. Artif. Intell. Res. (JAIR) , vol.24 , pp. 305-339
    • Cimiano, P.1    Hotho, A.2    Staab, S.3
  • 4
    • 38049031638 scopus 로고    scopus 로고
    • A multisource context-dependent approach for semantic distance between concepts
    • Roland Wagner and Norman Revell and Günther Pernul (Eds.) Springer, Berlin
    • EL SAYED, A., HACID, H., and ZIGHED, D. (2007): A multisource context-dependent approach for semantic distance between concepts. In: Roland Wagner and Norman Revell and Günther Pernul (Eds.): Database and Expert Systems Applications, 18th International Conference, DEXA 2007. Springer, Berlin, 54-63.
    • (2007) Database and Expert Systems Applications, 18th International Conference, DEXA 2007 , pp. 54-63
    • El Sayed, A.1    Hacid, H.2    Zighed, D.3
  • 7
    • 84903962756 scopus 로고    scopus 로고
    • First experiments of using semantic knowledge learned by asium for information extraction task using intex
    • Werner Horn (Ed.) Berlin, Germany, August 20-25, 2000
    • FAURE, D. and POIBEAU, T. (2000): First experiments of using semantic knowledge learned by asium for information extraction task using intex. In: Werner Horn (Ed.): ECAI 2000, Proceedings of the 14th European Conference on Artificial Intelligence, Berlin, Germany, August 20-25, 2000.
    • (2000) ECAI 2000, Proceedings of the 14th European Conference on Artificial Intelligence
    • Faure, D.1    Poibeau, T.2
  • 8
    • 0040076126 scopus 로고    scopus 로고
    • Automatic labeling of semantic roles
    • GILDEA, D. and JURAFSKY, D. (2002): Automatic labeling of semantic roles. In: Computational Linguistic, 28(3), 245-288.
    • (2002) Computational Linguistic , vol.28 , Issue.3 , pp. 245-288
    • Gildea, D.1    Jurafsky, D.2
  • 11
    • 0035267985 scopus 로고    scopus 로고
    • Ontology learning for the semantic web
    • MAEDCHE, A. and STAAB, S. (2001): Ontology learning for the semantic web, IEEE Intelligent Systems, 16(2), 72-79.
    • (2001) IEEE Intelligent Systems , vol.16 , Issue.2 , pp. 72-79
    • Maedche, A.1    Staab, S.2
  • 12
    • 42549143297 scopus 로고    scopus 로고
    • Automatic extraction of semantic relationships for wordnet by means of pattern learning from wikipedia
    • Springer Berlin
    • MARIA RUIZ-CASADO, E.A. and CASTELLS, P. (2005): Automatic extraction of semantic relationships for wordnet by means of pattern learning from wikipedia, In: Natural Language Processing and Information Systems. Springer Berlin, 67-79.
    • (2005) Natural Language Processing and Information Systems , pp. 67-79
    • Maria Ruiz-Casado, E.A.1    Castells, P.2
  • 15
    • 0346907250 scopus 로고    scopus 로고
    • A survey on the use of relevance feedback for information access systems
    • RUTHVEN, I. and LALMAS, M. (2003): A survey on the use of relevance feedback for information access systems. In: Knowl. Eng. Rev., 18(2), 95-145.
    • (2003) Knowl. Eng. Rev. , vol.18 , Issue.2 , pp. 95-145
    • Ruthven, I.1    Lalmas, M.2
  • 16
    • 0019887799 scopus 로고
    • Identication of common molecular subsequences
    • SMITH, T. and WATERMAN, M. (1981): Identication of common molecular subsequences. In: Journal of Molecular Biology. 147, 195-197.
    • (1981) Journal of Molecular Biology , vol.147 , pp. 195-197
    • Smith, T.1    Waterman, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.