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Disambiguating coordinations using word distribution information

Chantree, F.; Kilgarriff, A.; De Roeck, A. and Willis, A. (2005). Disambiguating coordinations using word distribution information. In: Proceedings of Recent Advances in Natural Language Processing - 2005, 21-23 Sep 2005, Borovets, Bulgaria.

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In this paper we present some heuristics for resolving coordination ambiguities. This type of ambiguity is one of the most pervasive and challenging. We test the hypothesis that the most likely reading of a coordination can be predicted using word distribution information from a generic corpus. The measures that we use are: the relative frequency of the coordination in the corpus, the distributional similarity of the coordinated words, and the collocation frequency between coordinated words and their modifiers. The heuristics that we present based on these measures have varying but useful predictive power. They also take into account our view that many ambiguities cannot be effectively dissambiguated, since human perceptions vary widely.

Item Type: Conference or Workshop Item
Academic Unit/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)
Item ID: 4868
Depositing User: Alistair Willis
Date Deposited: 12 Jul 2006
Last Modified: 07 Dec 2018 08:57
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