Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis
Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Implementing enterprise process automation often requires significant technical expertise and engineering effort. It would be beneficial for non-technical users to be able to describe a business process in natural language and have an intelligent system generate the workflow that can be automatically executed. A building block of process automation...
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Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis
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TN_cdi_proquest_journals_2353316957
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2353316957
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2331-8422
