@InProceedings{deleris-EtAl:2018:N18-51,
  author    = {Deleris, Lea  and  Bonin, Francesca  and  Daly, Elizabeth  and  Deparis, Stephane  and  Hou, Yufang  and  Jochim, Charles  and  Lassoued, Yassine  and  Levacher, Killian},
  title     = {Know Who Your Friends Are: Understanding Social Connections from Unstructured Text},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {76--80},
  abstract  = {Having an understanding of interpersonal relationships is helpful in many contexts. Our system seeks to assist humans with that task, using textual information (e.g., case notes, speech transcripts, posts, books) as input. Specifically, our system first extracts qualitative and quantitative information elements (which we call signals) about interactions among persons, aggregates those to provide a condensed view of relationships and then enables users to explore all facets of the resulting social (multi-)graph through a visual interface.},
  url       = {http://www.aclweb.org/anthology/N18-5016}
}