Less is More? Investigating Meta-Learning’s Suitability in Sentence Compression for Low-Resource Data

Luis Gustavo Coutinho Rego; José Antônio Macêdo; Ticiana da Silva

Less is More? Investigating Meta-Learning’s Suitability in Sentence Compression for Low-Resource Data

Luis Gustavo Coutinho Rego, José Antônio Macêdo, Ticiana da Silva

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Anthology ID:: 2023.stil-1.1
Volume:: Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology
Month:
Year:: 2023
Address:: Belo Horizonte, Brazil
Editors:: Jackson Wilke da Cruz Souza, Helena de Medeiros Caseli, Finatto Maria José Bocorny
Venues:: STIL | WS
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Publisher:: Association for Computational Linguistics
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Pages:: 10–19
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URL:: https://aclanthology.org/2023.stil-1.1/
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Cite (ACL):: Luis Gustavo Coutinho Rego, José Antônio Macêdo, and Ticiana da Silva. 2023. Less is More? Investigating Meta-Learning’s Suitability in Sentence Compression for Low-Resource Data. In Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology, pages 10–19, Belo Horizonte, Brazil. Association for Computational Linguistics.
Cite (Informal):: Less is More? Investigating Meta-Learning’s Suitability in Sentence Compression for Low-Resource Data (Rego et al., STIL 2023)
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PDF:: https://aclanthology.org/2023.stil-1.1.pdf

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    title = "Less is More? Investigating Meta-Learning{'}s Suitability in Sentence Compression for Low-Resource Data",
    author = "Rego, Luis Gustavo Coutinho  and
      Mac{\^e}do, Jos{\'e} Ant{\^o}nio  and
      Silva, Ticiana da",
    editor = "Souza, Jackson Wilke da Cruz  and
      Caseli, Helena de Medeiros  and
      Bocorny, Finatto Maria Jos{\'e}",
    booktitle = "Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology",
    year = "2023",
    address = "Belo Horizonte, Brazil",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.stil-1.1/",
    pages = "10--19"
}

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%0 Conference Proceedings
%T Less is More? Investigating Meta-Learning’s Suitability in Sentence Compression for Low-Resource Data
%A Rego, Luis Gustavo Coutinho
%A Macêdo, José Antônio
%A Silva, Ticiana da
%Y Souza, Jackson Wilke da Cruz
%Y Caseli, Helena de Medeiros
%Y Bocorny, Finatto Maria José
%S Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology
%D 2023
%I Association for Computational Linguistics
%C Belo Horizonte, Brazil
%F rego-etal-2023-less
%U https://aclanthology.org/2023.stil-1.1/
%P 10-19

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Markdown (Informal)

[Less is More? Investigating Meta-Learning’s Suitability in Sentence Compression for Low-Resource Data](https://aclanthology.org/2023.stil-1.1/) (Rego et al., STIL 2023)

Less is More? Investigating Meta-Learning’s Suitability in Sentence Compression for Low-Resource Data (Rego et al., STIL 2023)

ACL

Luis Gustavo Coutinho Rego, José Antônio Macêdo, and Ticiana da Silva. 2023. Less is More? Investigating Meta-Learning’s Suitability in Sentence Compression for Low-Resource Data. In Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology, pages 10–19, Belo Horizonte, Brazil. Association for Computational Linguistics.