Attribution: Please use this identifier to share, cite, or link to this item: http://hdl.handle.net/10625/49058
Title: Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance
Authors: Long, Chong
Huang, Minlie
Zhu, Xiaoyan
Keywords: DOCUMENT SUMMARIZATION
INFORMATION DISTANCE
Date: Nov-2009
Citation: Long, C., Huang, M., & Zhu, X. (2009). Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance. Proceedings of TAC 2009. (p. 1-7).
Abstract: This paper presents our extractive summarization systems at the update summarization track of TAC 2009. This system is based on our newly developed document summarization framework under the theory of conditional information distance among many objects. The best summary is defined in this paper to be the one which has the minimum information distance to the entire document set. The best update summary has the minimum conditional information distance to a document cluster given that a prior document cluster has already been read. Experiments on the TAC dataset have proved that our method has got a good performance in many categories.
URI: http://hdl.handle.net/10625/49058
Project Number: 104519
Project Title: International Research Chairs Initiative (IRCI)
Access: IDRC Only
Access Restriction: Due to copyright restrictions the full text of this research output is not available in the IDRC Digital Library or by request from the IDRC Library. / Compte tenu des restrictions relatives au droit d`auteur, le texte intégral de cet extrant de recherche n`est pas accessible dans la Bibliothèque numérique du CRDI, et il n`est pas possible d`en faire la demande à la Bibliothèque du CRDI.
Files in This Item:
There are no files associated with this item.
Show full item record