Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback

ACL 2017 Avinesh P.V.SChristian M. Meyer

In this paper, we propose an extractive multi-document summarization (MDS) system using joint optimization and active learning for content selection grounded in user feedback. Our method interactively obtains user feedback to gradually improve the results of a state-of-the-art integer linear programming (ILP) framework for MDS... (read more)

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