mlsanityData to 14 Oct 2026

Joint Universal Syntactic and Semantic Parsing

arXiv 2104.05696 ↗First posted 12 Apr 2021cs.CLcited by 5

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Abstract (arXiv)

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 which 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 behaviour 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.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 22 of its 68 references that are in the map. First posted on arXiv 12 Apr 2021.

Builds on

22 of 68 references.

References · 22

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10 more
  1. 2019AMR Parsing as Sequence-to-Graph Transductioncited by 50
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Cited by year

Citing papers per year: 2022: 2; 2023: 1; 2024: 1; 2025: 1.

5 papers.

  1. 2022Calibrated Interpretation: Confidence Estimation in Semantic Parsingcited by 33
  2. 2024Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Taskscited by 10
  3. 2022When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systemscited by 2
  4. 2023Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigmcited by 2
  5. 2025Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Datacited by 0