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

doi:10.18653/v1/d18-2004

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

Intel AI Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

We present SetExpander, the term set expansion system based NLP Architect by Intel AI Lab. SetExpander is 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. It implements an iterative end-to-end workflow and 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.¹

Original language	English
Title of host publication	EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing
Subtitle of host publication	System Demonstrations, Proceedings
Publisher	Association for Computational Linguistics (ACL)
Pages	19-24
Number of pages	6
ISBN (Electronic)	9781948087858
DOIs	https://doi.org/10.18653/v1/d18-2004
State	Published - 2018
Externally published	Yes
Event	2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2018 - Brussels, Belgium Duration: 31 Oct 2018 → 4 Nov 2018

Publication series

Name	EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings

Conference

Conference	2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2018
Country/Territory	Belgium
City	Brussels
Period	31/10/18 → 4/11/18

Bibliographical note

Publisher Copyright:
© 2018 Association for Computational Linguistics.

Access to Document

10.18653/v1/d18-2004

Cite this

Mamou, J., Pereg, O., Wasserblat, M., Eirew, A., Green, Y., Guskin, S., Izsak, P., & Korat, D. (2018). Term set expansion based NLP architect by Intel AI lab. In EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (pp. 19-24). (EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d18-2004

Mamou, Jonathan ; Pereg, Oren ; Wasserblat, Moshe et al. / Term set expansion based NLP architect by Intel AI lab. EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings. Association for Computational Linguistics (ACL), 2018. pp. 19-24 (EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings).

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abstract = "We present SetExpander, the term set expansion system based NLP Architect by Intel AI Lab. SetExpander is 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. It implements an iterative end-to-end workflow and 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.1",

author = "Jonathan Mamou and Oren Pereg and Moshe Wasserblat and Alon Eirew and Yael Green and Shira Guskin and Peter Izsak and Daniel Korat",

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year = "2018",

doi = "10.18653/v1/d18-2004",

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series = "EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings",

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Mamou, J, Pereg, O, Wasserblat, M, Eirew, A, Green, Y, Guskin, S, Izsak, P & Korat, D 2018, Term set expansion based NLP architect by Intel AI lab. in EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings. EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings, Association for Computational Linguistics (ACL), pp. 19-24, 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2018, Brussels, Belgium, 31/10/18. https://doi.org/10.18653/v1/d18-2004

Term set expansion based NLP architect by Intel AI lab. / Mamou, Jonathan; Pereg, Oren; Wasserblat, Moshe et al.
EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings. Association for Computational Linguistics (ACL), 2018. p. 19-24 (EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Mamou J, Pereg O, Wasserblat M, Eirew A, Green Y, Guskin S et al. Term set expansion based NLP architect by Intel AI lab. In EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings. Association for Computational Linguistics (ACL). 2018. p. 19-24. (EMNLP 2018 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings). doi: 10.18653/v1/d18-2004

Term set expansion based NLP architect by Intel AI lab

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