Papers with semantic parsing approach

2 papers
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? (2021.acl-long)

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Challenge: Existing approaches to semantic parsing only evaluated on synthetic datasets that are not representative of natural language variation.
Approach: They propose a semantic parsing approach that handles both natural language variation and compositional generalization.
Outcome: The proposed model outperforms existing models across compositional generalization challenges on non-synthetic datasets while being competitive with the state-of-the-art on standard evaluations.
RGR-KBQA: Generating Logical Forms for Question Answering Using Knowledge-Graph-Enhanced Large Language Model (2025.coling-main)

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Challenge: Existing methods for Knowledge Base Question Answering (KBQA) face hallucination problems, resulting in low accuracy.
Approach: They propose a retrieval-generate-retrieve framework that uses a Retrieve-Generate framework to retrieve factual knowledge from a knowledge graph.
Outcome: Experimental results show that RGR-KBQA improves on CWQ and WebQSP datasets.

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