文章基本信息

标题：A Notion of Semantic Coherence for Underspecified Semantic Representation
本地全文：下载
作者：Mehdi Manshadi ; Daniel Gildea ; James F. Allen 等
期刊名称：Computational Linguistics
印刷版ISSN：0891-2017
电子版ISSN：1530-9312
出版年度：2018
卷号：44
期号：1
页码：39-83
DOI：10.1162/COLI_a_00307
语种：English
出版社：MIT Press
摘要：The general problem of finding satisfying solutions to constraint-based underspecified representations of quantifier scope is NP-complete. Existing frameworks, including Dominance Graphs, Minimal Recursion Semantics, and Hole Semantics, have struggled to balance expressivity and tractability in order to cover real natural language sentences with efficient algorithms. We address this trade-off with a general principle of coherence, which requires that every variable introduced in the domain of discourse must contribute to the overall semantics of the sentence. We show that every underspecified representation meeting this criterion can be efficiently processed, and that our set of representations subsumes all previously identified tractable sets.