Joint Universal Syntactic and Semantic Parsing

被引:4
|
作者
Stengel-Eskin, Elias [1 ]
Murray, Kenton [1 ]
Zhang, Sheng [2 ]
White, Aaron Steven [3 ]
Van Durme, Benjamin [1 ]
机构
[1] Johns Hopkins Univ, Baltimore, MD 21218 USA
[2] Microsoft Res, Redmond, WA USA
[3] Univ Rochester, Rochester, NY 14627 USA
基金
美国国家科学基金会;
关键词
CHILDREN;
D O I
10.1162/tacl_a_00396
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
While numerous attempts have been made to jointly parse syntax and semantics, high performance in one domain typically comes at the price of performance in the other. This trade-off contradicts the large body of research focusing on the rich interactions at the syntax-semantics interface. We explore multiple model architectures that allow us to exploit the rich syntactic and semantic annotations contained in the Universal Decompositional Semantics (UDS) dataset, jointly parsing Universal Dependencies and UDS to obtain state-of-the-art results in both formalisms. We analyze the behavior of a joint model of syntax and semantics, finding patterns supported by linguistic theory at the syntax-semantics interface. We then investigate to what degree joint modeling generalizes to a multilingual setting, where we find similar trends across 8 languages.
引用
收藏
页码:756 / 773
页数:18
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