Semantic Code Classification for Automated Machine Learning

• URL: http://arxiv.org/abs/2201.11252v1
• Date: Tue, 25 Jan 2022 10:40:37 GMT
• Title: Semantic Code Classification for Automated Machine Learning
• Authors: Polina Guseva, Anastasia Drozdova, Natalia Denisenko, Daria Sapozhnikova, Ivan Pyaternev, Anna Scherbakova, Andrey Ustuzhanin
• Abstract summary: We propose a way to control the output via a sequence of simple actions, that are called semantic code classes. We present a semantic code classification task and discuss methods for solving this problem on the Natural Language to Machine Learning (NL2ML) dataset.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: A range of applications for automatic machine learning need the generation process to be controllable. In this work, we propose a way to control the output via a sequence of simple actions, that are called semantic code classes. Finally, we present a semantic code classification task and discuss methods for solving this problem on the Natural Language to Machine Learning (NL2ML) dataset.

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