A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
System Combination for Multi-document Summarization
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
We present a novel framework of system combination for multi-document summarization. For each input set (input), we generate candidate summaries by combining whole sentences from the summaries generated by different systems. We show that the oracle among these candidates is much better than the summaries that we have combined. We then present a supervised model to select among the candidates. The model relies on a rich set of features that capture content importance from different perspectives.
doi:10.18653/v1/d15-1011
dblp:conf/emnlp/HongMN15
fatcat:ykbw4th2q5bk7o64gb37f3fyze