@inproceedings{a2a13c52e3c94636bd24b06910990b63,
title = "Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow",
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 for term set expansion. 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 for solving real-life use cases including integration in an automated recruitment system and an issues and defects resolution system.",
author = "Jonathan Mamou and Oren Pereg and Moshe Wasserblat and Ido Dagan and Yoav Goldberg and Alon Eirew and Yael Green and Shira Guskin and Peter Izsak and Daniel Korat",
note = "Publisher Copyright: {\textcopyright} COLING 2018.All right reserved.; 27th International Conference on Computational Linguistics, COLING 2018 ; Conference date: 20-08-2018 Through 26-08-2018",
year = "2018",
language = "الإنجليزيّة",
series = "COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings of System Demonstrations",
publisher = "Association for Computational Linguistics (ACL)",
pages = "58--62",
booktitle = "COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings of System Demonstrations",
address = "الولايات المتّحدة",
}