Universal Semantic Parsing
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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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- 2021RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answeringcited by 86
- 2023Few-shot In-context Learning for Knowledge Base Question Answeringcited by 74
- 2022Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environmentscited by 57
- 2022ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answeringcited by 48
- 2021Systematic Generalization with Edge Transformerscited by 38
- 2023ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretationcited by 24
- 2023SLOG: A Structural Generalization Benchmark for Semantic Parsingcited by 22
- 2021Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Basecited by 16
- 2023The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarkscited by 12
- 2025Linguistic Generalizations are not Rules: Impacts on Evaluation of LMscited by 10
- 2021Multilingual Neural Semantic Parsing for Low-Resourced Languagescited by 7
- 2025Analyzing the Inner Workings of Transformers in Compositional Generalizationcited by 6
9 more
- 2021On the Relation between Syntactic Divergence and Zero-Shot Performancecited by 4
- 2021Compositional Generalization in Dependency Parsingcited by 4
- 2025Generalizability of Media Frames: Corpus creation and analysis across countriescited by 4
- 2023Data Distribution Bottlenecks in Grounding Language Models to Knowledge Basescited by 3
- 2023Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsingcited by 2
- 2023Low-Resource Compositional Semantic Parsing with Concept Pretrainingcited by 1
- 2021Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsingcited by 0
- 2023Strahler Number of Natural Language Sentences in Comparison with Random Treescited by 0
- 2024A Compositional Typed Semantics for Universal Dependenciescited by 0
- 2025Generalizability of Media Frames: Corpus creation and analysis across countries19 Jun 2025
- 2025Analyzing the Inner Workings of Transformers in Compositional Generalization21 Feb 2025
- 2025Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs18 Feb 2025
- 2024A Compositional Typed Semantics for Universal Dependencies2 Mar 2024
- 2023The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks26 Oct 2023
- 2023SLOG: A Structural Generalization Benchmark for Semantic Parsing23 Oct 2023
- 2023Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases15 Sep 2023
- 2023Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing9 Jul 2023
- 2023Strahler Number of Natural Language Sentences in Comparison with Random Trees6 Jul 2023
- 2023Few-shot In-context Learning for Knowledge Base Question Answering2 May 2023
- 2023ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation24 Mar 2023
- 2023Low-Resource Compositional Semantic Parsing with Concept Pretraining24 Jan 2023
9 more
- 2022Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments19 Dec 2022
- 2022ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering17 Apr 2022
- 2021Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing25 Dec 2021
- 2021Systematic Generalization with Edge Transformers1 Dec 2021
- 2021Compositional Generalization in Dependency Parsing13 Oct 2021
- 2021On the Relation between Syntactic Divergence and Zero-Shot Performance9 Oct 2021
- 2021RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering17 Sep 2021
- 2021Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base8 Sep 2021
- 2021Multilingual Neural Semantic Parsing for Low-Resourced Languages7 Jun 2021
- 2021RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answeringcited by 86
- 2023Few-shot In-context Learning for Knowledge Base Question Answeringcited by 74
- 2022Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environmentscited by 57
- 2022ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answeringcited by 48
- 2021Systematic Generalization with Edge Transformerscited by 38
- 2023ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretationcited by 24
- 2023SLOG: A Structural Generalization Benchmark for Semantic Parsingcited by 22
- 2021Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Basecited by 16
- 2023The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarkscited by 12
- 2025Linguistic Generalizations are not Rules: Impacts on Evaluation of LMscited by 10
- 2021Multilingual Neural Semantic Parsing for Low-Resourced Languagescited by 7
- 2025Analyzing the Inner Workings of Transformers in Compositional Generalizationcited by 6
12 most cited of 21 All 21 (JSON)
- 2025Generalizability of Media Frames: Corpus creation and analysis across countries19 Jun 2025
- 2025Analyzing the Inner Workings of Transformers in Compositional Generalization21 Feb 2025
- 2025Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs18 Feb 2025
- 2024A Compositional Typed Semantics for Universal Dependencies2 Mar 2024
- 2023The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks26 Oct 2023
- 2023SLOG: A Structural Generalization Benchmark for Semantic Parsing23 Oct 2023
- 2023Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases15 Sep 2023
- 2023Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing9 Jul 2023
- 2023Strahler Number of Natural Language Sentences in Comparison with Random Trees6 Jul 2023
- 2023Few-shot In-context Learning for Knowledge Base Question Answering2 May 2023
- 2023ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation24 Mar 2023
- 2023Low-Resource Compositional Semantic Parsing with Concept Pretraining24 Jan 2023
12 newest of 21 All 21 (JSON)