Acquisition of Verb Entailment from Text
Acquisition of Verb Entailment from Text
复制标题
从文本中获取动词蕴含
DOI：
10.3115/1220835.1220842
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Viktor Pekar
中科院分区：
文献类型：
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作者：
Viktor Pekar
本研究探讨了动词蕴涵关系的自动习得问题。虽然这个任务有很多共同之处释义收购，旨在发现动词之间的语义对等，蕴涵收购的主要挑战是捕捉不对称，或方向，关系。出于这种直觉，它往往是连贯文本的局部结构的基础，我们开发了一种方法，发现动词蕴涵使用的证据之间的话语关系，在一个已解析的语料库。与早期的工作相比，所提出的方法涵盖了更广泛的动词蕴涵类型，并学习了具有高度变化的论元结构的动词之间的映射。
The study addresses the problem of automatic acquisition of entailment relations between verbs. While this task has much in common with paraphrases acquisition which aims to discover semantic equivalence between verbs, the main challenge of entailment acquisition is to capture asymmetric, or directional, relations. Motivated by the intuition that it often under-lies the local structure of coherent text, we develop a method that discovers verb entailment using evidence about discourse relations between clauses available in a parsed corpus. In comparison with earlier work, the proposed method covers a much wider range of verb entailment types and learns the mapping between verbs with highly varied argument structures.