Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code

Matthew Roque; Nicole Abejuela; Shirley Chu; Melvin Cabatuan; Edwin Sybingco

Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code

Matthew Roque, Nicole Abejuela, Shirley Chu, Melvin Cabatuan, Edwin Sybingco

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Anthology ID:: 2024.paclic-1.35
Volume:: Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
Month:: December
Year:: 2024
Address:: Tokyo, Japan
Editors:: Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
Venue:: PACLIC
SIG:
Publisher:: Tokyo University of Foreign Studies
Note:
Pages:: 354–362
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URL:: https://aclanthology.org/2024.paclic-1.35/
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Cite (ACL):: Matthew Roque, Nicole Abejuela, Shirley Chu, Melvin Cabatuan, and Edwin Sybingco. 2024. Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 354–362, Tokyo, Japan. Tokyo University of Foreign Studies.
Cite (Informal):: Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code (Roque et al., PACLIC 2024)
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PDF:: https://aclanthology.org/2024.paclic-1.35.pdf

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@inproceedings{roque-etal-2024-legal,
    title = "Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the {P}hilippine Tax Code",
    author = "Roque, Matthew  and
      Abejuela, Nicole  and
      Chu, Shirley  and
      Cabatuan, Melvin  and
      Sybingco, Edwin",
    editor = "Oco, Nathaniel  and
      Dita, Shirley N.  and
      Borlongan, Ariane Macalinga  and
      Kim, Jong-Bok",
    booktitle = "Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation",
    month = dec,
    year = "2024",
    address = "Tokyo, Japan",
    publisher = "Tokyo University of Foreign Studies",
    url = "https://aclanthology.org/2024.paclic-1.35/",
    pages = "354--362"
}

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%0 Conference Proceedings
%T Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code
%A Roque, Matthew
%A Abejuela, Nicole
%A Chu, Shirley
%A Cabatuan, Melvin
%A Sybingco, Edwin
%Y Oco, Nathaniel
%Y Dita, Shirley N.
%Y Borlongan, Ariane Macalinga
%Y Kim, Jong-Bok
%S Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
%D 2024
%8 December
%I Tokyo University of Foreign Studies
%C Tokyo, Japan
%F roque-etal-2024-legal
%U https://aclanthology.org/2024.paclic-1.35/
%P 354-362

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Markdown (Informal)

[Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code](https://aclanthology.org/2024.paclic-1.35/) (Roque et al., PACLIC 2024)

Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code (Roque et al., PACLIC 2024)

ACL

Matthew Roque, Nicole Abejuela, Shirley Chu, Melvin Cabatuan, and Edwin Sybingco. 2024. Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 354–362, Tokyo, Japan. Tokyo University of Foreign Studies.