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

Piji Li, Lidong Bing, Wai Lam
2017 arXiv   pre-print
We investigate the problem of reader-aware 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 » ... ader comments can improve the summarization performance, which also demonstrates the usefulness of the proposed dataset. The annotated dataset for RA-MDS is available online.
arXiv:1708.01065v1 fatcat:lcp2lfjzu5b67fknv77jbqrexa