@InProceedings{singla-EtAl:2017:FrontiersSummarization,
  author    = {Singla, Karan  and  Stepanov, Evgeny  and  Bayer, Ali Orkan  and  Carenini, Giuseppe  and  Riccardi, Giuseppe},
  title     = {Automatic Community Creation for Abstractive Spoken Conversations Summarization},
  booktitle = {Proceedings of the Workshop on New Frontiers in Summarization},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {43--47},
  abstract  = {Summarization of spoken conversations is a challenging task, since it requires
	deep understanding of dialogs. Abstractive summarization techniques rely on
	linking the summary sentences to sets of original conversation sentences, i.e.
	communities. Unfortunately, such linking information is rarely available or
	requires trained annotators. We propose and experiment automatic community
	creation using cosine similarity on different levels of representation: raw
	text, WordNet SynSet IDs, and word embeddings. We show that the abstractive
	summarization systems with automatic communities significantly outperform
	previously published results on both English and Italian corpora.},
  url       = {http://www.aclweb.org/anthology/W17-4506}
}