@InProceedings{nayeem-chali:2017:TextGraphs-11,
  author    = {Nayeem, Mir Tafseer  and  Chali, Yllias},
  title     = {Extract with Order for Coherent Multi-Document Summarization},
  booktitle = {Proceedings of TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {51--56},
  abstract  = {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.},
  url       = {http://www.aclweb.org/anthology/W17-2407}
}