@InProceedings{mamou-EtAl:2018:Demos,
  author    = {Mamou, Jonathan  and  Pereg, Oren  and  Wasserblat, Moshe  and  Eirew, Alon  and  Green, Yael  and  Guskin, Shira  and  Izsak, Peter  and  Korat, Daniel},
  title     = {Term Set Expansion based NLP Architect by Intel AI Lab},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  month     = {November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {19--24},
  abstract  = {We present SetExpander, a corpus-based system for expanding a seed set of terms into a more complete set of terms that belong to the same semantic class. SetExpander implements an iterative end-to-end workflow. It enables users to easily select a seed set of terms, expand it, view the expanded set, validate it, re-expand the validated set and store it, thus simplifying},
  url       = {http://www.aclweb.org/anthology/D18-2004}
}