Paper: Experimental Design to Improve Topic Analysis Based Summarization

ACL ID W14-4410
Title Experimental Design to Improve Topic Analysis Based Summarization
Venue International Conference on Natural Language Generation
Session Main Conference
Year 2014
Authors

We use efficient screening experiments to investigate and improve topic analysis based multi-document extractive summa- rization. In our summarization process, topic analysis determines the weighted topic content vectors that characterize the corpora, and then Jensen-Shannon diver- gence extracts sentences that best match the weighted content vectors to assemble the summaries. We use screening experi- ments to investigate several control param- eters in this process, gaining better under- standing of and improving the topic anal- ysis based summarization process.