1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchBrenda Pottshttps://www.microsoft.com/en-us/research/people/v-brpo/Learning to Represent Edits - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="89gQBE2FxV"><a href="https://www.microsoft.com/en-us/research/publication/learning-to-represent-edits/">Learning to Represent Edits</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/learning-to-represent-edits/embed/#?secret=89gQBE2FxV" width="600" height="338" title="“Learning to Represent Edits” — Microsoft Research" data-secret="89gQBE2FxV" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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We introduce the problem of learning distributed representations of edits. By combining a “neural editor” with an “edit encoder”, our models learn to represent the salient information of an edit and can be used to apply edits to new inputs. We experiment on natural language and source code edit data. Our evaluation yields promising results […]