Proceedings

Compositional Program Synthesis from Natural Language and Examples

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 792-799.

Abstract

Compositionality is a fundamental notion in computation whereby complex abstractions can be constructed from simpler ones, but this property has so far escaped the paradigm of end-user programming from examples or natural language. Existing approaches restrict end users to only give holistic end-to-end specifications, which limits the expressivity and scalability of these approaches to relatively simple programs in very restricted domains. In this paper we propose a new approach to end-user program synthesis in which input can be given in a compositional manner through a combination of natural language and examples. We present a domain-agnostic program synthesis algorithm and demonstrate its application to an expressive string manipulation language. We evaluate on a range of complex examples from help forums that are beyond the scope of previous systems.

Mohammad Raza, Sumit Gulwani, and Natasa Milic-Frayling. 2015. Compositional Program Synthesis from Natural Language and Examples. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 792–799. https://ijcai.org/proceedings/2015/117
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