TY - GEN
T1 - SciSumm
T2 - 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL HLT 2011
AU - Agarwal, Nitin
AU - Reddy, Ravi Shankar
AU - Gvr, Kiran
AU - Rosé, Carolyn Penstein
PY - 2011
Y1 - 2011
N2 - In this demo, we present SciSumm, an interactive multi-document summarization system for scientific articles. The document collection to be summarized is a list of papers cited together within the same source article, otherwise known as a co-citation. At the heart of the approach is a topic based clustering of fragments extracted from each article based on queries generated from the context surrounding the co-cited list of papers. This analysis enables the generation of an overview of common themes from the co-cited papers that relate to the context in which the co-citation was found. SciSumm is currently built over the 2008 ACL Anthology, however the generalizable nature of the summarization techniques and the extensible architecture makes it possible to use the system with other corpora where a citation network is available. Evaluation results on the same corpus demonstrate that our system performs better than an existing widely used multi-document summarization system (MEAD).
AB - In this demo, we present SciSumm, an interactive multi-document summarization system for scientific articles. The document collection to be summarized is a list of papers cited together within the same source article, otherwise known as a co-citation. At the heart of the approach is a topic based clustering of fragments extracted from each article based on queries generated from the context surrounding the co-cited list of papers. This analysis enables the generation of an overview of common themes from the co-cited papers that relate to the context in which the co-citation was found. SciSumm is currently built over the 2008 ACL Anthology, however the generalizable nature of the summarization techniques and the extensible architecture makes it possible to use the system with other corpora where a citation network is available. Evaluation results on the same corpus demonstrate that our system performs better than an existing widely used multi-document summarization system (MEAD).
UR - http://www.scopus.com/inward/record.url?scp=84859012592&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859012592&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84859012592
SN - 9781932432893
T3 - ACL HLT 2011 - 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of Student Session
SP - 115
EP - 120
BT - ACL HLT 2011 - 49th Annual Meeting of the Association for Computational Linguistics
Y2 - 19 June 2011 through 24 June 2011
ER -