Guy Feigenblat
ABSTRACT
We propose to demonstrate SummIt -- a tool for extractive summarization, discovery and analysis. The main goal of SummIt is to provide consumable summaries that are driven by users' information intents. To this end, SummIt discovers and analyzes potential intents that can be used for summarization. Given an intent, SummIt generates a summary based on a novel unsupervised, query-focused, extractive, multi-document summarization approach. Using visualization aids, SummIt further allows to analyze a given summary and explore both its narrow and broader context.
- Guy Feigenblat, Haggai Roitman, Odellia Boni, and David Konopnicki. Unsupervised query-focused multi-document summarization using the cross entropy method. SIGIR '17, pages 961--964, New York, NY, USA, 2017. ACM. Google Scholar
Digital Library
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Index Terms
- SummIt: A Tool for Extractive Summarization, Discovery and Analysis
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