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.
Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, and Ido Dagan. 2017. Interactive Abstractive Summarization for Event News Tweets. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 109–114, Copenhagen, Denmark. Association for Computational Linguistics.
@inproceedings{shapira-etal-2017-interactive,
title = "Interactive Abstractive Summarization for Event News Tweets",
author = "Shapira, Ori and
Ronen, Hadar and
Adler, Meni and
Amsterdamer, Yael and
Bar-Ilan, Judit and
Dagan, Ido",
editor = "Specia, Lucia and
Post, Matt and
Paul, Michael",
booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D17-2019/",
doi = "10.18653/v1/D17-2019",
pages = "109--114",
abstract = "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."
}
%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
Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, and Ido Dagan. 2017. Interactive Abstractive Summarization for Event News Tweets. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 109–114, Copenhagen, Denmark. Association for Computational Linguistics.