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Volumn 259, Issue , 2013, Pages 29-38

From information retrieval (IR) to argument retrieval (AR) for legal cases: Report on a baseline study

Author keywords

Argument retrieval; Default logic framework; Legal information retrieval; Pragmatics; Presuppositional annotation; Semantics

Indexed keywords

INFORMATION RETRIEVAL; SEARCH ENGINES;

EID: 84894588238     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-61499-359-9-29     Document Type: Conference Paper
Times cited : (25)

References (13)
  • 1
    • 67849135036 scopus 로고    scopus 로고
    • Automatically classifying case texts and predicting outcomes
    • Ashley, K., Brüninghaus, S. 'Automatically Classifying Case Texts and Predicting Outcomes.' In Artificial Intelligence and Law 17: 2 125-165 (2009).
    • (2009) Artificial Intelligence and Law , vol.17 , Issue.2 , pp. 125-165
    • Ashley, K.1    Brüninghaus, S.2
  • 2
    • 84883544226 scopus 로고    scopus 로고
    • Toward constructing evidence-based legal arguments using legal decision documents and machine learning
    • ACM, New York
    • Ashley, K., Walker, V. 'Toward Constructing Evidence-Based Legal Arguments Using Legal Decision Documents and Machine Learning.' In: Proceedings ICAIL 2013 176-180 ACM, New York (2013).
    • (2013) Proceedings ICAIL , vol.2013 , Issue.176-180
    • Ashley, K.1    Walker, V.2
  • 3
    • 0030691402 scopus 로고    scopus 로고
    • Finding legally relevant passages in case opinions
    • ACM, New York
    • Daniels J., Rissland E. Finding legally relevant passages in case opinions. Proceedings ICAIL 1997. 39-46 ACM, New York (1997).
    • (1997) Proceedings ICAIL , vol.1997 , pp. 39-46
    • Daniels, J.1    Rissland, E.2
  • 4
    • 67849120190 scopus 로고    scopus 로고
    • Is linguistic information relevant for the text legal classification problem'
    • ACM, New York
    • Gonçalves T., Quaresma P. Is linguistic information relevant for the text legal classification problem' In: Proceedings ICAIL 2005. 168-176 ACM, New York (2005).
    • (2005) Proceedings ICAIL , vol.2005 , pp. 168-176
    • Gonçalves, T.1    Quaresma, P.2
  • 7
    • 34548027022 scopus 로고    scopus 로고
    • Deep semantic interpretations of legal texts
    • ACM, New York
    • McCarty, L. Deep semantic interpretations of legal texts. Proceedings ICAIL 2007, 217-224 ACM, New York (2007).
    • (2007) Proceedings ICAIL , vol.2007 , pp. 217-224
    • McCarty, L.1
  • 9
    • 77953613902 scopus 로고    scopus 로고
    • Ravindran B Identification of rhetorical roles for segmentation and summarization of a legal judgment
    • Saravanan M, Ravindran B Identification of rhetorical roles for segmentation and summarization of a legal judgment. Artificial Intelligence and Law 18:45-76 (2010).
    • (2010) Artificial Intelligence and Law , vol.18 , Issue.45-76
    • Saravanan, M.1
  • 10
    • 0012051194 scopus 로고    scopus 로고
    • Automatic categorization of case law
    • ACM, NY
    • Thompson, P. Automatic categorization of case law. Proc. ICAIL 2001. 70-77 ACM, NY (2001).
    • (2001) Proc. ICAIL , vol.2001 , pp. 70-77
    • Thompson, P.1
  • 12
    • 0032022293 scopus 로고    scopus 로고
    • Automatic abstracting of legal cases for effective access to court decisions
    • Uyttendaele C, Moens M-F, Dumortier J SALOMON: automatic abstracting of legal cases for effective access to court decisions. Artificial Intelligence and Law 6:59-79 (1998).
    • (1998) Artificial Intelligence and Law , vol.6 , pp. 59-79
    • Uyttendaele, C.1    Moens, M.-F.2    Salomon, D.J.3
  • 13
    • 83555164863 scopus 로고    scopus 로고
    • A framework for the extraction and modeling of factfinding reasoning from legal decisions: Lessons from the Vaccine/Injury Project Corpus
    • Walker, V., Carie, N., DeWitt, C. and Lesh, E. A framework for the extraction and modeling of factfinding reasoning from legal decisions: lessons from the Vaccine/Injury Project Corpus. Artificial Intelligence and Law 19:291-331 (2011).
    • (2011) Artificial Intelligence and Law , vol.19 , Issue.291-331
    • Walker, V.1    Carie, N.2    Dewitt, C.3    Lesh, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.