Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion

Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Ido Dagan

doi:10.18653/v1/W19-2013

Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan

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Abstract

In this paper, we present a novel algorithm that combines multi-context term embeddings using a neural classifier and we test this approach on the use case of corpus-based term set expansion. In addition, we present a novel and unique dataset for intrinsic evaluation of corpus-based term set expansion algorithms. We show that, over this dataset, our algorithm provides up to 5 mean average precision points over the best baseline.

Anthology ID:: W19-2013
Volume:: Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP
Month:: June
Year:: 2019
Address:: Minneapolis, USA
Editors:: Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Yoav Goldberg
Venue:: RepEval
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 95–101
Language:
URL:: https://aclanthology.org/W19-2013/
DOI:: 10.18653/v1/W19-2013
Bibkey:
Cite (ACL):: Jonathan Mamou, Oren Pereg, Moshe Wasserblat, and Ido Dagan. 2019. Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. In Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP, pages 95–101, Minneapolis, USA. Association for Computational Linguistics.
Cite (Informal):: Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion (Mamou et al., RepEval 2019)
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PDF:: https://aclanthology.org/W19-2013.pdf

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@inproceedings{mamou-etal-2019-multi,
    title = "Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion",
    author = "Mamou, Jonathan  and
      Pereg, Oren  and
      Wasserblat, Moshe  and
      Dagan, Ido",
    editor = "Rogers, Anna  and
      Drozd, Aleksandr  and
      Rumshisky, Anna  and
      Goldberg, Yoav",
    booktitle = "Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}",
    month = jun,
    year = "2019",
    address = "Minneapolis, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-2013/",
    doi = "10.18653/v1/W19-2013",
    pages = "95--101",
    abstract = "In this paper, we present a novel algorithm that combines multi-context term embeddings using a neural classifier and we test this approach on the use case of corpus-based term set expansion. In addition, we present a novel and unique dataset for intrinsic evaluation of corpus-based term set expansion algorithms. We show that, over this dataset, our algorithm provides up to 5 mean average precision points over the best baseline."
}

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%0 Conference Proceedings
%T Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
%A Mamou, Jonathan
%A Pereg, Oren
%A Wasserblat, Moshe
%A Dagan, Ido
%Y Rogers, Anna
%Y Drozd, Aleksandr
%Y Rumshisky, Anna
%Y Goldberg, Yoav
%S Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, USA
%F mamou-etal-2019-multi
%X In this paper, we present a novel algorithm that combines multi-context term embeddings using a neural classifier and we test this approach on the use case of corpus-based term set expansion. In addition, we present a novel and unique dataset for intrinsic evaluation of corpus-based term set expansion algorithms. We show that, over this dataset, our algorithm provides up to 5 mean average precision points over the best baseline.
%R 10.18653/v1/W19-2013
%U https://aclanthology.org/W19-2013/
%U https://doi.org/10.18653/v1/W19-2013
%P 95-101

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Markdown (Informal)

[Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion](https://aclanthology.org/W19-2013/) (Mamou et al., RepEval 2019)

Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion (Mamou et al., RepEval 2019)

ACL

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, and Ido Dagan. 2019. Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. In Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP, pages 95–101, Minneapolis, USA. Association for Computational Linguistics.