Term Set Expansion based NLP Architect by Intel AI Lab
August 27, 2018 Β· Declared Dead Β· π Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
arXiv ID
1808.08953
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL
Citations
26
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
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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