Research Article
A Multi-level System for Sequential Update Summarization
@INPROCEEDINGS{10.4108/eai.19-8-2015.2260848, author={Chunyun Zhang and Zhanyu Ma and Weiran Xu and Jiayue Zhang and Jun Guo}, title={A Multi-level System for Sequential Update Summarization}, proceedings={11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness}, publisher={IEEE}, proceedings_a={QSHINE}, year={2015}, month={9}, keywords={temporal summarization lda topic detection}, doi={10.4108/eai.19-8-2015.2260848} }- Chunyun Zhang
Zhanyu Ma
Weiran Xu
Jiayue Zhang
Jun Guo
Year: 2015
A Multi-level System for Sequential Update Summarization
QSHINE
IEEE
DOI: 10.4108/eai.19-8-2015.2260848
Abstract
When an emergency occurs, such as the outbreak of natural disaster, the news about the incident showed a trend of blowout. Mostly, these news are reproduced by people and spread out with duplicate, unimportant or wrong information. Hence, it is necessary and vital to provide individuals with timely and important information of these incidents during their development. In this paper, we present a new multi-level system which can broadcasts with useful, new, and timely sentence-length updates about a developing event. The new system proposed a novel method, which incorporates techniques from topic-level and sentence-level summarization. To evaluate the performance of the proposed system, we applied it to the task of sequential update summarization of Temporal Summarization (TS) track at Text Retrieval Conference (TREC). Experimental results showed that our proposed method have a good performance.
