Paper: A Learning-based Sampling Approach to Extractive Summarization

ACL ID N10-3007
Title A Learning-based Sampling Approach to Extractive Summarization
Venue Proceedings of the NAACL HLT 2010 Student Research Workshop
Session
Year 2010
Authors

In this paper we present a novel resampling model for extractive meeting summarization. With resampling based on the output of a base- line classifier, our method outperforms previ- ous research in the field. Further, we com- pare an existing resampling technique with our model. We report on an extensive se- ries of experiments on a large meeting corpus which leads to classification improvement in weighted precision and f-score.