mlsanityData to 7 Oct 2026

Universal Semantic Parsing

arXiv 1702.03196 ↗First posted 10 Feb 2017cs.CLcited by 21

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Abstract (arXiv)

Universal Dependencies (UD) offer a uniform cross-lingual syntactic representation, with the aim of advancing multilingual applications. Recent work shows that semantic parsing can be accomplished by transforming syntactic dependencies to logical forms. However, this work is limited to English, and cannot process dependency graphs, which allow handling complex phenomena such as control. In this work, we introduce UDepLambda, a semantic interface for UD, which maps natural language to logical forms in an almost language-independent fashion and can process dependency graphs. We perform experiments on question answering against Freebase and provide German and Spanish translations of the WebQuestions and GraphQuestions datasets to facilitate multilingual evaluation. Results show that UDepLambda outperforms strong baselines across languages and datasets. For English, it achieves a 4.9 F1 point improvement over the state-of-the-art on GraphQuestions. Our code and data can be downloaded at https://github.com/sivareddyg/udeplambda.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Feb 2017.

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Citing papers per year: 2021: 7; 2022: 2; 2023: 8; 2024: 1; 2025: 3.

21 papers.

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  1. 2021RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answeringcited by 86
  2. 2023Few-shot In-context Learning for Knowledge Base Question Answeringcited by 74
  3. 2022Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environmentscited by 57
  4. 2022ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answeringcited by 48
  5. 2021Systematic Generalization with Edge Transformerscited by 38
  6. 2023ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretationcited by 24
  7. 2023SLOG: A Structural Generalization Benchmark for Semantic Parsingcited by 22
  8. 2021Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Basecited by 16
  9. 2023The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarkscited by 12
  10. 2025Linguistic Generalizations are not Rules: Impacts on Evaluation of LMscited by 10
  11. 2021Multilingual Neural Semantic Parsing for Low-Resourced Languagescited by 7
  12. 2025Analyzing the Inner Workings of Transformers in Compositional Generalizationcited by 6
9 more
  1. 2021On the Relation between Syntactic Divergence and Zero-Shot Performancecited by 4
  2. 2021Compositional Generalization in Dependency Parsingcited by 4
  3. 2025Generalizability of Media Frames: Corpus creation and analysis across countriescited by 4
  4. 2023Data Distribution Bottlenecks in Grounding Language Models to Knowledge Basescited by 3
  5. 2023Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsingcited by 2
  6. 2023Low-Resource Compositional Semantic Parsing with Concept Pretrainingcited by 1
  7. 2021Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsingcited by 0
  8. 2023Strahler Number of Natural Language Sentences in Comparison with Random Treescited by 0
  9. 2024A Compositional Typed Semantics for Universal Dependenciescited by 0