A Survey on Semantic Parsing

Abstract

A significant amount of information in today's world is stored in structured and semi-structured knowledge bases. Efficient and simple methods to query them are essential and must not be restricted to only those who have expertise in formal query languages. The field of semantic parsing deals with converting natural language utterances to logical forms that can be easily executed on a knowledge base. In this survey, we examine the various components of a semantic parsing system and discuss prominent work ranging from the initial rule based methods to the current neural approaches to program synthesis. We also discuss methods that operate using varying levels of supervision and highlight the key challenges involved in the learning of such systems.

arXiv commentAKBC 2019

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Cited by in corpus (7)

• Biomedical Question Answering: A Survey of Approaches and Challenges
• Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
• Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs
• A Survey on Semantic Parsing from the perspective of Compositionality
• Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
• On Robustness of Neural Semantic Parsers
• Few-Shot Semantic Parsing for New Predicates