David Carmel, Haggai Roitman, et al.
ACM TIST
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.
David Carmel, Haggai Roitman, et al.
ACM TIST
Haggai Roitman, Yosi Mass
ICTIR 2019
Nir Levine, Haggai Roitman, et al.
SIGIR 2017
Haggai Roitman, Ralf Schenkel, et al.
CIKM 2011