Dear Surangika

Nice initiative, we will be happy to support such a survey (we conduct an internal one from time to time but it is good to share this will all colleagues)
Most of the authors publishing at LREC are asked to fill in the LREMap form that document the resources produced/used in the paper , many of the authors do this
you can see the work done up to LREC 2018 (and many other conferences) here: https://lremap.elra.info/
We have the SQL databases for 2020 and 2022 and looking for a web developer to incorporate these in the current public version, we are happy to share the two databases with you if useful for your work;
and by the way the events using START (from SOFTCONF) can ask for the LREMAP feature in the submission process so they can collect similar info.

Best regards
Khalid

ELRA Secretary General & ELDA CEO

email: [email protected] ; Web: www.elra.info www.elda.org
Tel. +33 1 43 13 33 33
Info on LREC:
www.lrec-conf.org

On 2022-09-28 05:37, Surangika Ranathunga via Corpora wrote:
Dear Community
NLP community usually quantifies the 'resourcefulness' of a language based on the datasets (annotated/unannotated) available in public repositories. However, our recent analysis on the LREC 2022 papers revealed that most of the datasets have not been published in these public repositories.
In order to identify reasons for this, we created the below survey. Please spend 2mins responding to this survey. It is anonymous and raw data will NOT be published. The aggregated results will be published at an xCL venue. We hope our findings would be beneficial to the wider NLP community. 


We will be collecting responses till Oct 8th.

Regards
Surangika

Surangika Ranathunga, PhD
Senior Lecturer,
Department of Computer Science and Engineering,
Faculty of Engineering,
University of Moratuwa

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