The work of a group of students part of Machine Learning @ Berkeley during Fall 2018 for Intuit. This project aimed to explore different methods that employed machine learning to automatically summarize text documents. Models explored included a baseline regression model, a hierarchical neural model, and pointer generator abstractive model.
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Text Summarization Project
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