Disambiguating coordinations using word distribution information
Disambiguating coordinations using word distribution information
复制标题
使用单词分布信息消除协调歧义
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
A. Willis
中科院分区：
文献类型：
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作者：
Francis Chantree;A. Kilgarriff;A. Roeck;A. Willis
在本文中，我们介绍了解决协调歧义的一些启发式方法。这种歧义是最普遍，最具挑战性的一种。我们检验了以下假设：可以使用来自通用语料库的单词分布信息来预测最可能的协调读数。我们使用的度量是：语料库中协调的相对频率，协调单词的分布相似性以及协调单词及其修饰符之间的搭配频率。我们基于这些措施提出的启发式方法具有不同但有用的预测能力。他们还考虑到我们认为，由于人类的看法差异很大，因此许多歧义不能有效地占据歧视。
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.