Two-Phased Event Relation Acquisition: Coupling the Relation-Oriented and Argument-Oriented Approaches
Two-Phased Event Relation Acquisition: Coupling the Relation-Oriented and Argument-Oriented Approaches
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DOI：
10.3115/1599081.1599082
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发表时间：
2008-08
期刊：
影响因子：
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通讯作者：
Shuya Abe;Kentaro Inui;Yuji Matsumoto
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文献类型：
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作者：
Shuya Abe;Kentaro Inui;Yuji Matsumoto
为了从大型语料库中获取事件之间的语义关系，我们首先讨论了基于模式的面向关系方法和基于锚点的面向参数方法之间的互补性。然后，我们提出了一种分两阶段的方法，首先使用词典语法模式获取谓词对，然后使用两种类型的锚来识别共享参数。我们目前在一个大型日语Web语料库上的经验评估结果表明：(a)基于锚点的过滤广泛地提高了谓词对获取的准确性，(b)两种类型的锚点的贡献几乎相同，结合它们可以在不损失准确性的情况下提高召回率，(c)基于锚点的方法在共享参数识别方面也达到了很高的准确性。
Addressing the task of acquiring semantic relations between events from a large corpus, we first argue the complementarity between the pattern-based relation-oriented approach and the anchor-based argument-oriented approach. We then propose a two-phased approach, which first uses lexico-syntactic patterns to acquire predicate pairs and then uses two types of anchors to identify shared arguments. The present results of our empirical evaluation on a large-scale Japanese Web corpus have shown that (a) the anchor-based filtering extensively improves the accuracy of predicate pair acquisition, (b) the two types of anchors are almost equally contributive and combining them improves recall without losing accuracy, and (c) the anchor-based method also achieves high accuracy in shared argument identification.