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Dr. Lazar and her student Hannah Senediak had a poster presented at Natural Language Processing Poster Session at Grace Hopper Celebration 2019

Dr. Lazar and her student Hannah Senediak had a poster presented at Natural Language Processing Poster Session at Grace Hopper Celebration 2019. The title of the poster is "Automatic Tagging of Stack Overflow Questions Using Word Embeddings and Deep Learning" and was presented by Hannah Senediak, Youngstown State University.

Title: Automatic Tagging of Stack Overflow Questions Using Word Embeddings and Deep Learning

 Presentor: Hannah Senediak

Abstract

Question-and-answer (QA) websites like Stack Overflow requires users to attach up to five tags when they submit a question. However, users may assign tags that are not relevant to the question. A better approach would be to recommend to users the most appropriate tags for their question and let them choose. The goal of this project is to combine newly developed natural language representations together with deep learning algorithms to improve the prediction accuracy of tags for Stack Overflow questions. We used word representations generated by word2vec and a Convolutional Neural Network (CNN).

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