%0 Conference Proceedings %T Interactive Abstractive Summarization for Event News Tweets %A Shapira, Ori %A Ronen, Hadar %A Adler, Meni %A Amsterdamer, Yael %A Bar-Ilan, Judit %A Dagan, Ido %Y Specia, Lucia %Y Post, Matt %Y Paul, Michael %S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations %D 2017 %8 September %I Association for Computational Linguistics %C Copenhagen, Denmark %F shapira-etal-2017-interactive %X We present a novel interactive summarization system that is based on abstractive summarization, derived from a recent consolidated knowledge representation for multiple texts. We incorporate a couple of interaction mechanisms, providing a bullet-style summary while allowing to attain the most important information first and interactively drill down to more specific details. A usability study of our implementation, for event news tweets, suggests the utility of our approach for text exploration. %R 10.18653/v1/D17-2019 %U https://aclanthology.org/D17-2019 %U https://doi.org/10.18653/v1/D17-2019 %P 109-114