Detecting dangerous coordination ambiguities using word distribution

Chantree, Francis; Willis, Alistair; Kilgarriff, Adam and De Roeck, Anne (2007). Detecting dangerous coordination ambiguities using word distribution. In: Nicolov, Nicolas; Bontcheva, Kalina; Anjelova, Galia and Mitkov, Ruslan eds. Recent Advances in Natural Language Processing. Current Issues in Linguistic Theory, 4 (292). John Benjamins Publishers, pp. 287–296.

DOI: https://doi.org/10.1075/cilt.292.37cha

URL: http://benjamins.com/cgi-bin/t_bookview.cgi?bookid...

Abstract

In this paper we present heuristics for resolving coordination ambiguities. We test the hypothesis that the most likely reading of a coordination can be predicted using word distribution information from a generic corpus. Our heuristics are based upon the relative frequency of the coordination in the corpus, the distributional similarity of the coordinated words, and the collocation frequency between the coordinated words and their modifiers. These heuristics have varying but useful predictive power. They also take into account our view that many ambiguities cannot be effectively disambiguated, since human perceptions vary widely.

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About

• Item ORO ID
• 19240
• Item Type
• Book Section
• Extra Information
• Selected papers from RANLP 2005
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2007 John Benjamins
• Depositing User
• Alistair Willis