Sub-topic Segmentation in Multi-document
- 10.2991/iccia.2012.379How to use a DOI?
- Multi-document Summarization, Sub-topic Segmentation,Maximum tree algorithm
The similar sentences in multi-document set are combined into one class, and each class is one sub-topic. Describing the sub-topics from the perspective of understanding makes the multi-document summarization become the one with greater coverage and less redundancy. This paper presents a sub-topic segmentation method based on maximum tree algorithm. And based on sentences similarity matrix, maximum tree is calculated, as well as the sub-topic segmentation is realized through the analysis of the different communities for the sub-topic. The experiment shows that the method achieves the desired result.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaoyan Yun AU - Wei Teng PY - 2014/05 DA - 2014/05 TI - Sub-topic Segmentation in Multi-document BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1529 EP - 1531 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.379 DO - 10.2991/iccia.2012.379 ID - Yun2014/05 ER -