Paper: A New Approach to Automatic Document Summarization

ACL ID I08-1017
Title A New Approach to Automatic Document Summarization
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008

In this paper we propose a new approach based on Sequence Segmentation Models (SSM) to the extractive document summa- rization, in which summarizing is regarded as a segment labeling problem. Comparing with the previous work, the difference of our approach is that the employed features are obtained not only from the sentence level, but also from the segment level. In our approach, the semi-Markov CRF model is employed for segment labeling. The pre- liminary experiments have shown that the approach does outperform all other tradi- tional supervised and unsupervised ap- proaches to document summarization.