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Volumn 1, Issue , 2011, Pages 752-762

Learning to grade short answer questions using semantic similarity measures and dependency graph alignments

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC GRADING; COMPUTER ASSISTED; DEPENDENCY GRAPHS; LEXICAL SEMANTICS; MACHINE LEARNING TECHNIQUES; SEMANTIC SIMILARITY MEASURES; STRUCTURAL COMPONENT;

EID: 84859011704     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (250)

References (32)
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    • A solution to plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge
    • T.K. Landauer and S.T. Dumais. 1997. A solution to plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104.
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    • Landauer, T.K.1    Dumais, S.T.2
  • 13
    • 0002542095 scopus 로고    scopus 로고
    • Combining local context and WordNet sense similarity for word sense identification
    • The MIT Press
    • C. Leacock and M. Chodorow. 1998. Combining local context and WordNet sense similarity for word sense identification. In WordNet, An Electronic Lexical Database. The MIT Press.
    • (1998) WordNet, An Electronic Lexical Database
    • Leacock, C.1    Chodorow, M.2
  • 14
    • 33646866698 scopus 로고    scopus 로고
    • C-rater: Automated scoring of short-answer questions
    • DOI 10.1023/A:1025779619903
    • C. Leacock and M. Chodorow. 2003. C-rater: Automated Scoring of Short-Answer Questions. Computers and the Humanities, 37(4):389-405. (Pubitemid 44966834)
    • (2003) Computers and the Humanities , vol.37 , Issue.4 , pp. 389-405
    • Leacock, C.1    Chodorow, M.2
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    • Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone
    • Toronto, June
    • M.E. Lesk. 1986. Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone. In Proceedings of the SIGDOC Conference 1986, Toronto, June.
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    • Lesk, M.E.1
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    • Recognizing entailment in intelligent tutoring systems
    • R.D. Nielsen, W. Ward, and J.H. Martin. 2009. Recognizing entailment in intelligent tutoring systems. Natural Language Engineering, 15(04):479-501.
    • (2009) Natural Language Engineering , vol.15 , Issue.4 , pp. 479-501
    • Nielsen, R.D.1    Ward, W.2    Martin, J.H.3
  • 28
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    • Auto- marking 2: An update on the UCLES-Oxford university research into using computational linguistics to score short, free text responses
    • J.Z. Sukkarieh, S.G. Pulman, and N. Raikes. 2004. Auto- Marking 2: An Update on the UCLES-Oxford University research into using Computational Linguistics to Score Short, Free Text Responses. International Association of Educational Assessment, Philadephia.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.