Joint Universal Syntactic and Semantic Parsing

Author:

Stengel-Eskin Elias1,Murray Kenton1,Zhang Sheng2,White Aaron Steven3,Van Durme Benjamin1

Affiliation:

1. Johns Hopkins University, United States

2. Microsoft Research, United States

3. University of Rochester, United States

Abstract

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.

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,Computer Science Applications,Linguistics and Language,Human-Computer Interaction,Communication

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Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Calibrated Interpretation: Confidence Estimation in Semantic Parsing;Transactions of the Association for Computational Linguistics;2023

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