Towards Conversation Entailment: An Empirical Investigation
Towards Conversation Entailment: An Empirical Investigation
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走向对话蕴涵：一项实证研究
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
J. Chai
中科院分区：
文献类型：
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作者：
Chen Zhang;J. Chai
虽然大量研究致力于文本蕴涵，但对话脚本的自动蕴涵受到的关注较少。为了解决这一限制，本文研究了对话蕴涵问题：从对话脚本中自动推断假设。我们研究两个层次的语义表示：基于对话话语句法解析的基本表示和考虑对话结构的增强表示。对于每个级别，我们进一步探索捕获语言成分之间的长距离关系的两种方法：基于距离长度的隐式建模和基于实际关系模式的显式建模。我们的实证研究结果表明，对话结构的增强表示很重要，当与长距离关系的显式建模相结合时，它可以实现最佳性能。
While a significant amount of research has been devoted to textual entailment, automated entailment from conversational scripts has received less attention. To address this limitation, this paper investigates the problem of conversation entailment: automated inference of hypotheses from conversation scripts. We examine two levels of semantic representations: a basic representation based on syntactic parsing from conversation utterances and an augmented representation taking into consideration of conversation structures. For each of these levels, we further explore two ways of capturing long distance relations between language constituents: implicit modeling based on the length of distance and explicit modeling based on actual patterns of relations. Our empirical findings have shown that the augmented representation with conversation structures is important, which achieves the best performance when combined with explicit modeling of long distance relations.