采用优先选择策略的中文人称代词的指代消解

指代是自然语言中常见的语言现象,指代消解是文本信息处理中的一个重要任务。随着篇章处理相关应用日益广泛,指代消解也显示出前所未有的重要性。本文针对中文人称代词的指代特点,提出了一种基于语料库的,运用决策树机器学习算法并结合优先选择策略,进行指代消解的方法。该方法充分考虑了与指代相关的若干属性,及相互之间的影响。实验表明,对中文人称代词的消解特别是第三人称的消解获得了一定的效果。

Chinese Pronominal Anaphora Resolution Via a Preference Selection Approach

Anaphora is a common phenomenon in the research on NLP (Natural Language Processing), Anaphora resolution plays an important role in text information processing. With the increasing development of dealing with the discourses, anaphora resolution shows the unprecedented importance. In this paper, according to features of Chinese personal pronoun we present an approach which is based on corpus. It adopts the decision tree arithmetic and combines with the preference selection strategy. The method takes into account all kinds of anaphoric features and those effects among each other. The experiment demonstrates that the method achieves the desired result.