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Article Dans Une Revue European Journal of Law and Economics Année : 2020

Automated fact-value distinction in court opinions

Yu Cao
Elliott Ash
  • Fonction : Auteur

Résumé

This paper studies the problem of automated classification of fact statements and value statements in written judicial decisions. We compare a range of methods and demonstrate that the linguistic features of sentences and paragraphs can be used to successfully classify them along this dimension. The Wordscores method by Laver et al. (Am Polit Sci Rev 97(2):311–331, 2003) performs best in held out data. In an application, we show that the value segments of opinions are more informative than fact segments of the ideological direction of U.S. circuit court opinions.

Dates et versions

hal-03174376 , version 1 (19-03-2021)

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Citer

Yu Cao, Elliott Ash, Daniel L. Chen. Automated fact-value distinction in court opinions. European Journal of Law and Economics, 2020, 50 (3), pp.451-467. ⟨10.1007/s10657-020-09645-7⟩. ⟨hal-03174376⟩
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