论文标题

宽覆盖的深层语义词典动词

A Broad-Coverage Deep Semantic Lexicon for Verbs

论文作者

Allen, James, An, Hannah, Bose, Ritwik, de Beaumont, Will, Teng, Choh Man

论文摘要

缺乏将语言行为与本体论概念和公理联系起来的广泛覆盖词典所抑制的深层语言理解的进步。我们已经开发了Collie-V,这是一种用于动词的深层词汇资源,其中WordNet和Syntactic和语义细节的覆盖范围符合或超过现有资源。通过手工构建的词典和本体学,新的本体论概念和词汇条目以及语义角色偏好和索引公理的引导是通过结合解析字典定义和示例的多个约束来自动得出的。我们沿许多不同的维度评估了该技术的准确性,并能够在推导新概念和词汇条目方面获得高精度。 Collie-V公开可用。

Progress on deep language understanding is inhibited by the lack of a broad coverage lexicon that connects linguistic behavior to ontological concepts and axioms. We have developed COLLIE-V, a deep lexical resource for verbs, with the coverage of WordNet and syntactic and semantic details that meet or exceed existing resources. Bootstrapping from a hand-built lexicon and ontology, new ontological concepts and lexical entries, together with semantic role preferences and entailment axioms, are automatically derived by combining multiple constraints from parsing dictionary definitions and examples. We evaluated the accuracy of the technique along a number of different dimensions and were able to obtain high accuracy in deriving new concepts and lexical entries. COLLIE-V is publicly available.

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