使用回指消解理解文本

K. Karthikeyan, V. Karthikeyani
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引用次数: 11

摘要

回指是计算语言学中最有吸引力的现象之一,用于解决前后指称物的回指。在自然语言处理的应用中,回指消解的能力是非常重要的。传统的研究只关注解决特定类型的回指,没有人将解决所有类型的回指的方法或程序整合起来。在本文中,我们用分层或逐级的方法来识别所有类型的回指,以便每个人都在他们的应用中使用回指范式。我们提出了一种新的增强框架,在该框架中,所有的解析规则都被执行,新系统提取出最准确的回指前词。
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Understanding text using Anaphora Resolution
Anaphora is one of the mostly attractive phenomenons in computational linguistics for resolving anaphora with preceding and succeeding referent. The ability to perform Anaphora Resolution is important in NLP application. Traditional research focus on resolving particular type of anaphora only, no one integrates methods or procedure to resolve all type of anaphora. In this paper, we identify all type of anaphora with layered or step by step approach so that everyone utilize anaphora paradigm in their application. We proposed a new enhanced framework in which all required rules of resolution are perform, the new system extract most accuracy antecedents of anaphora.
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