메뉴 건너뛰기




Volumn , Issue , 2009, Pages 19-27

A comparative study on generalization of semantic roles in FrameNet

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE STUDIES; DESCRIPTORS; ERROR REDUCTION; FEATURE FUNCTION; FRAMENET; IN-DEPTH ANALYSIS; MACHINE-LEARNING; ROLE HIERARCHY; SEMANTIC ROLE LABELING; SEMANTIC ROLES; SEMANTIC TYPES; TRAINING DATA; VERBNET;

EID: 84856204022     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (22)
  • 2
    • 85036457935 scopus 로고    scopus 로고
    • Semeval-2007 task 19: Frame semantic structure extraction
    • Collin Baker, Michael Ellsworth, and Katrin Erk. 2007. Semeval-2007 task 19: Frame semantic structure extraction. In Proceedings of SemEval-2007, pages 99-104.
    • (2007) Proceedings of SemEval-2007 , pp. 99-104
    • Baker, C.1    Ellsworth, M.2    Erk, K.3
  • 3
    • 84873440870 scopus 로고    scopus 로고
    • Semantic role labeling with similarity based generalization using EM-based clustering
    • Ulrike Baldewein, Katrin Erk, Sebastian Padó, and Detlef Prescher. 2004. Semantic role labeling with similarity based generalization using EM-based clustering. In Proceedings of Senseval-3, pages 64-68.
    • (2004) Proceedings of Senseval-3 , pp. 64-68
    • Baldewein, U.1    Erk, K.2    Padó, S.3    Prescher, D.4
  • 4
    • 80051496273 scopus 로고    scopus 로고
    • UTD-SRL: A pipeline architecture for extracting frame semantic structures
    • Association for Computational Linguistics
    • Cosmin Adrian Bejan and Chris Hathaway. 2007. UTD-SRL: A Pipeline Architecture for Extracting Frame Semantic Structures. In Proceedings of SemEval-2007, pages 460-463. Association for Computational Linguistics.
    • (2007) Proceedings of SemEval-2007 , pp. 460-463
    • Bejan, C.A.1    Hathaway, C.2
  • 5
    • 41549146628 scopus 로고    scopus 로고
    • Knowledge element extraction for knowledge-based learning resources organization
    • X. Chang and Q. Zheng. 2008. Knowledge Element Extraction for Knowledge-Based Learning Resources Organization. Lecture Notes in Computer Science, 4823:102-113.
    • (2008) Lecture Notes in Computer Science , vol.4823 , pp. 102-113
    • Chang, X.1    Zheng, Q.2
  • 7
    • 80053364056 scopus 로고    scopus 로고
    • Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger
    • Massimiliano Ciaramita and Yasemin Altun. 2006. Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger. In Proceedings of EMNLP-2006, pages 594-602.
    • (2006) Proceedings of EMNLP-2006 , pp. 594-602
    • Ciaramita, M.1    Altun, Y.2
  • 8
    • 0040076126 scopus 로고    scopus 로고
    • Automatic labeling of semantic roles
    • Daniel Gildea and Daniel 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
  • 10
    • 84860526030 scopus 로고    scopus 로고
    • Generalizing semantic role annotations across syntactically similar verbs
    • Andrew Gordon and Reid Swanson. 2007. Generalizing semantic role annotations across syntactically similar verbs. In Proceedings of ACL-2007, pages 192-199.
    • (2007) Proceedings of ACL-2007 , pp. 192-199
    • Gordon, A.1    Swanson, R.2
  • 14
    • 70349231969 scopus 로고    scopus 로고
    • Exploiting syntactic and shallow semantic kernels for question answer classification
    • Alessandro Moschitti, Silvia Quarteroni, Roberto Basili, and Suresh Manandhar. 2007. Exploiting syntactic and shallow semantic kernels for question answer classification. In Proceedings of ACL-07, pages 776-783.
    • (2007) Proceedings of ACL-07 , pp. 776-783
    • Moschitti, A.1    Quarteroni, S.2    Basili, R.3    Manandhar, S.4
  • 15
    • 29344462476 scopus 로고    scopus 로고
    • Question answering based on semantic structures
    • Srini Narayanan and Sanda Harabagiu. 2004. Question answering based on semantic structures. In Proceedings of Coling-2004, pages 693-701.
    • (2004) Proceedings of Coling-2004 , pp. 693-701
    • Narayanan, S.1    Harabagiu, S.2
  • 16
    • 84966262179 scopus 로고
    • Updating quasi-newton matrices with limited storage
    • Jorge Nocedal. 1980. Updating quasi-newton matrices with limited storage. Mathematics of Computation, 35(151):773-782.
    • (1980) Mathematics of Computation , vol.35 , Issue.151 , pp. 773-782
    • Nocedal, J.1
  • 17
    • 33645983416 scopus 로고    scopus 로고
    • The proposition bank: An annotated corpus of semantic roles
    • Martha Palmer, Daniel Gildea, and Paul Kingsbury. 2005. The proposition bank: An annotated corpus of semantic roles. Computational Linguistics, 31(1):71-106.
    • (2005) Computational Linguistics , vol.31 , Issue.1 , pp. 71-106
    • Palmer, M.1    Gildea, D.2    Kingsbury, P.3
  • 18
    • 79960232116 scopus 로고    scopus 로고
    • Using semantic roles to improve question answering
    • Dan Shen and Mirella Lapata. 2007. Using semantic roles to improve question answering. In Proceedings of EMNLP-CoNLL 2007, pages 12-21.
    • (2007) Proceedings of EMNLP-CoNLL 2007 , pp. 12-21
    • Shen, D.1    Lapata, M.2
  • 19
    • 24344444519 scopus 로고    scopus 로고
    • Putting pieces together: Combining framenet, verbnet and word-net for robust semantic parsing
    • Lei Shi and Rada Mihalcea. 2005. Putting Pieces Together: Combining FrameNet, VerbNet and Word-Net for Robust Semantic Parsing. In Proceedings of CICLing-2005, pages 100-111.
    • (2005) Proceedings of CICLing-2005 , pp. 100-111
    • Shi, L.1    Mihalcea, R.2
  • 22
    • 78650461326 scopus 로고    scopus 로고
    • Robustness and generalization of role sets: PropBank vs. VerbNet
    • Beñat Zapirain, Eneko Agirre, and Lluís Màrquez. 2008. Robustness and generalization of role sets: PropBank vs. VerbNet. In Proceedings of ACL-08: HLT, pages 550-558.
    • (2008) Proceedings of ACL-08: HLT , pp. 550-558
    • Zapirain, B.1    Agirre, E.2    Màrquez, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.