Chantree, F.; Kilgarriff, A.; De Roeck, A. and Willis, A.
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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 Item|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Alistair Willis|
|Date Deposited:||12 Jul 2006|
|Last Modified:||04 Oct 2016 09:53|
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