Context-dependent Semantic Parsing for Time Expressions

被引：0

作者：

Lee, Kenton ^{[1
]}

Artzi, Yoav ^{[1
]}

Dodge, Jesse ^{[2
]}

Zettlemoyer, Luke ^{[1
]}

机构：

[1] Univ Washington, Comp Sci & Engn, Seattle, WA 98195 USA

[2] Carnegie Mellon Univ, Language Technol Inst, Pittsburgh, PA 15213 USA

来源：

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1 | 2014年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present an approach for learning context-dependent semantic parsers to identify and interpret time expressions. We use a Combinatory Categorial Grammar to construct compositional meaning representations, while considering contextual cues, such as the document creation time and the tense of the governing verb, to compute the final time values. Experiments on benchmark datasets show that our approach outperforms previous state-of-the-art systems, with error reductions of 13% to 21% in end-to-end performance.

引用

页码：1437 / 1447

页数：11

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