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This presentation explores the innovative application of machine summarization in scientific research. Led by Michael Yue, a Year 4 Computer Science undergraduate, the project aims to transform extensive research papers into succinct summaries for quicker comprehension and integration into workflows. By gathering feedback from researchers during interactive polling, the team seeks to refine and productize their approach, ultimately enhancing accessibility and usability. Key considerations include summary types, customization options, and integration with platforms like Google Scholar to facilitate smoother research processes.
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Applications of Machine Summarization Michael Yue CS Undergrad, Year 4 28th March 2014 michaelyue@nus.edu.sg
1. Background • Team working on scientific document summarization project • Min says, “how can we product-ivize this and make it useful?”
2. Motivation Get indicative feedback from researchers (i.e. the wonderful people in this room) to push the project forward. (don’t worry, there won’t be open ended questions)
3. Participation setup • Take out your smartphone • Launch browser • Go to “pollev.com/myue” • Upon loading the page, don’t press anything yet!
4. Idea • Summaries are for getting a quick understanding of a larger piece of text • Scientific summaries might help expedite the research process • Pre-process research papers into summaries, host them & provide a REST endpoint • Integrate this into the research work-flow • Our target: Google Scholar
Poll time!Don’t think too hard, the first reply that comes to mind is usually the one we want. Also, don’t be affected by what other people choose.