Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset

Piji Li, Lidong Bing, Wai Lam
2017 Proceedings of the Workshop on New Frontiers in Summarization  
We investigate the problem of readeraware multi-document summarization (RA-MDS) and introduce a new dataset for this problem. To tackle RA-MDS, we extend a variational auto-encodes (VAEs) based MDS framework by jointly considering news documents and reader comments. To conduct evaluation for summarization performance, we prepare a new dataset. We describe the methods for data collection, aspect annotation, and summary writing as well as scrutinizing by experts. Experimental results show that
more » ... der comments can improve the summarization performance, which also demonstrates the usefulness of the proposed dataset. The annotated dataset for RA-MDS is available online 1 .
doi:10.18653/v1/w17-4512 dblp:conf/emnlp/LiBL17 fatcat:alulkb6oljd2dn2ylgd4ws22eu