Computer Science > Computation and Language
[Submitted on 1 Jun 2017 (v1), last revised 15 Sep 2017 (this version, v2)]
Title:Function Assistant: A Tool for NL Querying of APIs
View PDFAbstract:In this paper, we describe Function Assistant, a lightweight Python-based toolkit for querying and exploring source code repositories using natural language. The toolkit is designed to help end-users of a target API quickly find information about functions through high-level natural language queries and descriptions. For a given text query and background API, the tool finds candidate functions by performing a translation from the text to known representations in the API using the semantic parsing approach of Richardson and Kuhn (2017). Translations are automatically learned from example text-code pairs in example APIs. The toolkit includes features for building translation pipelines and query engines for arbitrary source code projects. To explore this last feature, we perform new experiments on 27 well-known Python projects hosted on Github.
Submission history
From: Kyle Richardson [view email][v1] Thu, 1 Jun 2017 19:26:32 UTC (1,049 KB)
[v2] Fri, 15 Sep 2017 11:57:36 UTC (867 KB)
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