This report discusses initial work on the AInix Platform. This platform is designed to allow developers to add natural language interfaces to Unix-like shell commands. This can be used with the aish shell, which allows users to intermix natural language with shell commands. We create a high-level way of specifying semantic parsing grammars and collect a dataset of basic shell commands. We experiment with seq2seq models, abstract syntax networks (ASN), and embedded nearest neighbor-based models. We find highest accuracy is achieved with seq2seq models and ASN’s. While not as accurate, we find that when embedders are pretrained on large-scale code-related text, nearest neighbor models can achieve decent performance.

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Undergraduate Honors Thesis, Computer Science Department, University of Texas at Austin.

@misc{gros:thesis19, title={AInix: An open platform for natural language interfaces to shell commands}, author={David Gros}, month={May}, note={Undergraduate Honors Thesis, Computer Science Department, University of Texas at Austin}, url="http://www.cs.utexas.edu/users/ai-labpub-view.php?PubID=127814", year={2019} }