%0 Conference Proceedings %T Term Set Expansion based NLP Architect by Intel AI Lab %A Mamou, Jonathan %A Pereg, Oren %A Wasserblat, Moshe %A Eirew, Alon %A Green, Yael %A Guskin, Shira %A Izsak, Peter %A Korat, Daniel %Y Blanco, Eduardo %Y Lu, Wei %S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations %D 2018 %8 November %I Association for Computational Linguistics %C Brussels, Belgium %F mamou-etal-2018-term %X 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 the extraction of domain-specific fine-grained semantic classes. SetExpander has been used successfully in real-life use cases including integration into an automated recruitment system and an issues and defects resolution system. %R 10.18653/v1/D18-2004 %U https://aclanthology.org/D18-2004 %U https://doi.org/10.18653/v1/D18-2004 %P 19-24