@inproceedings{mamou-etal-2018-setexpander,
title = "{S}et{E}xpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings",
author = "Mamou, Jonathan and
Pereg, Oren and
Wasserblat, Moshe and
Dagan, Ido and
Goldberg, Yoav and
Eirew, Alon and
Green, Yael and
Guskin, Shira and
Izsak, Peter and
Korat, Daniel",
editor = "Zhao, Dongyan",
booktitle = "Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations",
month = aug,
year = "2018",
address = "Santa Fe, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/C18-2013",
pages = "58--62",
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. A video demo of SetExpander is available at \url{https://drive.google.com/open?id=1e545bB87Autsch36DjnJHmq3HWfSd1Rv} .",
}
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<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. A video demo of SetExpander is available at https://drive.google.com/open?id=1e545bB87Autsch36DjnJHmq3HWfSd1Rv .</abstract>
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%0 Conference Proceedings
%T SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings
%A Mamou, Jonathan
%A Pereg, Oren
%A Wasserblat, Moshe
%A Dagan, Ido
%A Goldberg, Yoav
%A Eirew, Alon
%A Green, Yael
%A Guskin, Shira
%A Izsak, Peter
%A Korat, Daniel
%Y Zhao, Dongyan
%S Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico
%F mamou-etal-2018-setexpander
%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 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. A video demo of SetExpander is available at https://drive.google.com/open?id=1e545bB87Autsch36DjnJHmq3HWfSd1Rv .
%U https://aclanthology.org/C18-2013
%P 58-62
Markdown (Informal)
[SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings](https://aclanthology.org/C18-2013) (Mamou et al., COLING 2018)
ACL
- Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, and Daniel Korat. 2018. SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 58–62, Santa Fe, New Mexico. Association for Computational Linguistics.