메뉴 건너뛰기




Volumn , Issue , 2009, Pages 73-76

Generalizing over lexical features: Selectional preferences for semantic role classification

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATICALLY GENERATED; DATA SETS; DISTRIBUTIONAL SIMILARITIES; LEXICAL FEATURES; SECOND ORDERS; SELECTIONAL PREFERENCES; SEMANTIC ROLE LABELING; SEMANTIC ROLES; LARGE DATASETS; SEMANTIC ROLE CLASSIFICATIONS; SIMILARITY MEASURE;

EID: 79952565204     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (9)
  • 4
    • 0040076126 scopus 로고    scopus 로고
    • Automatic labeling of semantic roles
    • D. Gildea and D. Jurafsky. 2002. Automatic labeling of semantic roles. Computational Linguistics, 28(3):245-288.
    • (2002) Computational Linguistics , vol.28 , Issue.3 , pp. 245-288
    • Gildea, D.1    Jurafsky, D.2
  • 5
    • 85143523004 scopus 로고    scopus 로고
    • Automatic retrieval and clustering of similar words
    • Dekang Lin. 1998. Automatic retrieval and clustering of similar words. In COLING-ACL, pages 768-774.
    • (1998) COLING-ACL , pp. 768-774
    • Lin, D.1
  • 6
    • 34347357484 scopus 로고    scopus 로고
    • Dependencybased construction of semantic space models
    • June
    • Sebastian Padó and Mirella Lapata. 2007. Dependencybased construction of semantic space models. Computational Linguistics, 33(2):161-199, June.
    • (2007) Computational Linguistics , vol.33 , Issue.2 , pp. 161-199
    • Padó, S.1    Lapata, M.2
  • 7
    • 85149149595 scopus 로고    scopus 로고
    • An unsupervised approach to prepositional phrase attachment using contextually similar words
    • Patrick Pantel and Dekang Lin. 2000. An unsupervised approach to prepositional phrase attachment using contextually similar words. In Proceedings of the 38th Annual Conference of the ACL, pages 101-108.
    • (2000) Proceedings of the 38th Annual Conference of the ACL , pp. 101-108
    • Pantel, P.1    Lin, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.