TY - GEN
T1 - Unsupervised query-focused multi-document summarization using the cross entropy method
AU - Feigenblat, Guy
AU - Roitman, Haggai
AU - Boni, Odellia
AU - Konopnicki, David
N1 - Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/8/7
Y1 - 2017/8/7
N2 - We present a novel unsupervised query-focused multi-document summarization approach. To this end, we generate a summary by extracting a subset of sentences using the Cross-Entropy (CE) Method. .Theproposed approach is generic and requires no domain knowledge. Using an evaluation over DUC 2005-2007 datasets with several other state-of-The-Art baseline methods, we demonstrate that, our approach is both effective and eficient.
AB - We present a novel unsupervised query-focused multi-document summarization approach. To this end, we generate a summary by extracting a subset of sentences using the Cross-Entropy (CE) Method. .Theproposed approach is generic and requires no domain knowledge. Using an evaluation over DUC 2005-2007 datasets with several other state-of-The-Art baseline methods, we demonstrate that, our approach is both effective and eficient.
UR - https://www.scopus.com/pages/publications/85029388793
U2 - 10.1145/3077136.3080690
DO - 10.1145/3077136.3080690
M3 - Conference contribution
AN - SCOPUS:85029388793
T3 - SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 961
EP - 964
BT - SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
PB - Association for Computing Machinery, Inc
T2 - 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017
Y2 - 7 August 2017 through 11 August 2017
ER -