Evaluating Retrieval for Multi-domain Scientific Publications

Nancy Ide; Keith Suderman; Jingxuan Tu; Marc Verhagen; Shanan Peters; Ian Ross; John Lawson; Andrew Borg; James Pustejovsky

Evaluating Retrieval for Multi-domain Scientific Publications

Nancy Ide, Keith Suderman, Jingxuan Tu, Marc Verhagen, Shanan Peters, Ian Ross, John Lawson, Andrew Borg, James Pustejovsky

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Abstract

This paper provides an overview of the xDD/LAPPS Grid framework and provides results of evaluating the AskMe retrievalengine using the BEIR benchmark datasets. Our primary goal is to determine a solid baseline of performance to guide furtherdevelopment of our retrieval capabilities. Beyond this, we aim to dig deeper to determine when and why certain approachesperform well (or badly) on both in-domain and out-of-domain data, an issue that has to date received relatively little attention.

Anthology ID:: 2022.lrec-1.487
Volume:: Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:: June
Year:: 2022
Address:: Marseille, France
Editors:: Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association
Note:
Pages:: 4569–4576
Language:
URL:: https://aclanthology.org/2022.lrec-1.487/
DOI:
Bibkey:
Cite (ACL):: Nancy Ide, Keith Suderman, Jingxuan Tu, Marc Verhagen, Shanan Peters, Ian Ross, John Lawson, Andrew Borg, and James Pustejovsky. 2022. Evaluating Retrieval for Multi-domain Scientific Publications. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4569–4576, Marseille, France. European Language Resources Association.
Cite (Informal):: Evaluating Retrieval for Multi-domain Scientific Publications (Ide et al., LREC 2022)
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PDF:: https://aclanthology.org/2022.lrec-1.487.pdf

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@inproceedings{ide-etal-2022-evaluating,
    title = "Evaluating Retrieval for Multi-domain Scientific Publications",
    author = "Ide, Nancy  and
      Suderman, Keith  and
      Tu, Jingxuan  and
      Verhagen, Marc  and
      Peters, Shanan  and
      Ross, Ian  and
      Lawson, John  and
      Borg, Andrew  and
      Pustejovsky, James",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.487/",
    pages = "4569--4576",
    abstract = "This paper provides an overview of the xDD/LAPPS Grid framework and provides results of evaluating the AskMe retrievalengine using the BEIR benchmark datasets. Our primary goal is to determine a solid baseline of performance to guide furtherdevelopment of our retrieval capabilities. Beyond this, we aim to dig deeper to determine when and why certain approachesperform well (or badly) on both in-domain and out-of-domain data, an issue that has to date received relatively little attention."
}

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%0 Conference Proceedings
%T Evaluating Retrieval for Multi-domain Scientific Publications
%A Ide, Nancy
%A Suderman, Keith
%A Tu, Jingxuan
%A Verhagen, Marc
%A Peters, Shanan
%A Ross, Ian
%A Lawson, John
%A Borg, Andrew
%A Pustejovsky, James
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F ide-etal-2022-evaluating
%X This paper provides an overview of the xDD/LAPPS Grid framework and provides results of evaluating the AskMe retrievalengine using the BEIR benchmark datasets. Our primary goal is to determine a solid baseline of performance to guide furtherdevelopment of our retrieval capabilities. Beyond this, we aim to dig deeper to determine when and why certain approachesperform well (or badly) on both in-domain and out-of-domain data, an issue that has to date received relatively little attention.
%U https://aclanthology.org/2022.lrec-1.487/
%P 4569-4576

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Markdown (Informal)

[Evaluating Retrieval for Multi-domain Scientific Publications](https://aclanthology.org/2022.lrec-1.487/) (Ide et al., LREC 2022)

Evaluating Retrieval for Multi-domain Scientific Publications (Ide et al., LREC 2022)

ACL

Nancy Ide, Keith Suderman, Jingxuan Tu, Marc Verhagen, Shanan Peters, Ian Ross, John Lawson, Andrew Borg, and James Pustejovsky. 2022. Evaluating Retrieval for Multi-domain Scientific Publications. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4569–4576, Marseille, France. European Language Resources Association.