Term Set Expansion based NLP Architect by Intel AI Lab
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green,, Shira Guskin, Peter Izsak, Daniel Korat

TL;DR
SetExpander is an interactive, iterative system that helps users expand seed term sets into comprehensive semantic classes, facilitating domain-specific NLP tasks with practical applications in recruitment and issue resolution.
Contribution
The paper introduces SetExpander, a novel, user-friendly tool for term set expansion that integrates an end-to-end workflow and has been successfully applied in real-world scenarios.
Findings
Effective in expanding domain-specific term sets
Successfully integrated into real-life systems
Demonstrated practical utility in NLP applications
Abstract
We present SetExpander, a corpus-based system for expanding a seed set of terms into amore 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. A video demo of SetExpander is available at https://drive.google.com/open?id=1e545bB87Autsch36DjnJHmq3HWfSd1Rv (some images were blurred for privacy reasons)
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