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Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset
[article]
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
arXiv:1708.01065v1
fatcat:lcp2lfjzu5b67fknv77jbqrexa