SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings

Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Ido Dagan; Yoav Goldberg; Alon Eirew; Yael Green; Shira Guskin; Peter Izsak; Daniel Korat

SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

Department of Computer Science

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

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 .

Original language	English
Title of host publication	Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
Place of Publication	Santa Fe, New Mexico
Publisher	Association for Computational Linguistics
Pages	58-62
Number of pages	5
State	Published - 1 Aug 2018

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Mamou, J., Pereg, O., Wasserblat, M., Dagan, I., Goldberg, Y., Eirew, A., Green, Y., Guskin, S., Izsak, P., & Korat, D. (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 (pp. 58-62). Association for Computational Linguistics. https://aclanthology.org/C18-2013

@inproceedings{354730826c3648c9852829ebc4f29438,

title = "SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings",

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 .",

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",

year = "2018",

month = aug,

day = "1",

language = "אנגלית",

pages = "58--62",

booktitle = "Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations",

publisher = "Association for Computational Linguistics",

}

Mamou, J, Pereg, O, Wasserblat, M, Dagan, I , Goldberg, Y, Eirew, A, Green, Y, Guskin, S, Izsak, P & Korat, D 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. Association for Computational Linguistics, Santa Fe, New Mexico, pp. 58-62. <https://aclanthology.org/C18-2013>

SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. / Mamou, Jonathan; Pereg, Oren; Wasserblat, Moshe et al.
Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations. Santa Fe, New Mexico: Association for Computational Linguistics, 2018. p. 58-62.

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

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AU - Guskin, Shira

AU - Izsak, Peter

AU - Korat, Daniel

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SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings

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