Addressing the gap between current language models and key-term-based clustering-Reference-Cited by-同舟云学术

Addressing the gap between current language models and key-term-based clustering

Published:2023-08-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Symposium on Document Engineering 2023
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Author:

Cabral Eric M.¹^ORCID,Rezaeipourfarsangi Sima²^ORCID,Oliveira Maria Cristina F.¹^ORCID,Milios Evangelos E.²^ORCID,Minghim Rosane³^ORCID

Affiliation:

1. Universidade de São Paulo, São Carlos, São Paulo, Brazil

2. Dalhousie University, Halifax, NS, Canada

3. University College Cork, Cork, Ireland

Funder

FAPESP (Brazil)

International Development Research Center, Ottawa, Canada

Natural Sciences and Engineering Research Council of Canada

CALDO

CNPq (Brazil)

CAPES (Brazil)

The Boeing Company

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573128.3604900

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5. Piotr Bojanowski , Edouard Grave , Armand Joulin , and Tomas Mikolov . 2017. Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguist. 5 (dec 2017 ), 135--146. https://doi.org/10.1162/tacl_a_00051 arXiv:1607.04606 10.1162/tacl_a_00051 Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017. Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguist. 5 (dec 2017), 135--146. https://doi.org/10.1162/tacl_a_00051 arXiv:1607.04606