Extract with Order for Coherent Multi-Document Summarization

Mir Tafseer Nayeem, Yllias Chali
2017 Proceedings of TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing  
In this work, we aim at developing an extractive summarizer in the multi-document setting. We implement a rank based sentence selection using continuous vector representations along with key-phrases. Furthermore, we propose a model to tackle summary coherence for increasing readability. We conduct experiments on the Document Understanding Conference (DUC) 2004 datasets using ROUGE toolkit. Our experiments demonstrate that the methods bring significant improvements over the state of the art methods in terms of informativity and coherence.
doi:10.18653/v1/w17-2407 dblp:conf/textgraphs/NayeemC17 fatcat:jqflowowdfcd3ij333c53waubq