TY - GEN
T1 - Interactive abstractive summarization for event news tweets
AU - Shapira, Ori
AU - Ronen, Hadar
AU - Adler, Meni
AU - Amsterdamer, Yael
AU - Bar-Ilan, Judit
AU - Dagan, Ido
N1 - Publisher Copyright:
© 2017 Association for Computational Linguistics.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85057428299&partnerID=8YFLogxK
U2 - 10.18653/v1/d17-2019
DO - 10.18653/v1/d17-2019
M3 - Conference contribution
AN - SCOPUS:85057428299
T3 - EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings
SP - 109
EP - 114
BT - EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing
PB - Association for Computational Linguistics (ACL)
T2 - 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2017
Y2 - 9 September 2017 through 11 September 2017
ER -