Clause Anaphora Resolution of Japanese Demonstrative Determiner by Ontology Extension Using Distributed Expression of Words

Yukino Ikegami, R. Knauf, E. Damiani, S. Tsuruta, Yoshitaka Sakurai
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Abstract

An anaphora is a type of expression whose reference depends upon another referential element. In order to become aware of situations or human intentions by natural language understanding, it is important to estimate correctly what anaphoric expressions indicate. In particular, an anaphora resolution for Japanese demonstrative determiners is critical to be aware of situation, context or a causal relationship in dialogue. Ontology-based similarity has been proposed as a way to identify referential elements; however, a method using ontology alone cannot resolve all anaphoric relations. This paper proposes an anaphora analysis method that uses semantic similarity between different parts-of-speech and conceptual dependency structure. This method specializes in resolving clause anaphoric. The evaluation of this method showed around 2% accuracy for resolving Japanese demonstrative determiner in balanced corpus.
用分布式词语表达本体扩展日语指示限定词的小句回指消解
回指是一种表达式,其引用依赖于另一个引用元素。为了通过自然语言理解了解情境或人类意图,正确估计回指表达的含义是很重要的。特别是,日语指示限定词的回指解法对于了解对话中的情景、语境或因果关系至关重要。基于本体的相似性被提出作为一种识别参考元素的方法;然而,仅使用本体的方法不能解决所有的回指关系。本文提出了一种利用词类语义相似性和概念依赖结构的回指分析方法。这种方法专门用于解决小句回指。结果表明,该方法在平衡语料中解析日语指示限定词的准确率约为2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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