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        <title>OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models</title>
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    <name type="personal">
        <namePart type="given">Omar</namePart>
        <namePart type="family">Adjali</namePart>
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        <namePart type="given">Fréjus</namePart>
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        <namePart type="family">Laleye</namePart>
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        <namePart type="family">Aggarwal</namePart>
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            <title>Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop &amp; Shared Task</title>
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            <namePart type="given">Graciela</namePart>
            <namePart type="family">Gonzalez-Hernandez</namePart>
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            <namePart type="given">Davy</namePart>
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    <abstract>We describe in this paper our proposed systems for the Social Media Mining for Health 2022 shared task 1. In particular, we participated in the three sub-tasks, tasks that aim at extracting and processing Adverse Drug Events. We investigate different transformer-based pretrained models we fine-tuned on each task and proposed some improvement on the task of entity normalization.</abstract>
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%0 Conference Proceedings
%T OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models
%A Adjali, Omar
%A Laleye, Fréjus A. A.
%A Aggarwal, Umang
%Y Gonzalez-Hernandez, Graciela
%Y Weissenbacher, Davy
%S Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task
%D 2022
%8 October
%I Association for Computational Linguistics
%C Gyeongju, Republic of Korea
%F adjali-etal-2022-ofu
%X We describe in this paper our proposed systems for the Social Media Mining for Health 2022 shared task 1. In particular, we participated in the three sub-tasks, tasks that aim at extracting and processing Adverse Drug Events. We investigate different transformer-based pretrained models we fine-tuned on each task and proposed some improvement on the task of entity normalization.
%U https://aclanthology.org/2022.smm4h-1.46
%P 171-175

Markdown (Informal)

[OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models](https://aclanthology.org/2022.smm4h-1.46) (Adjali et al., SMM4H 2022)

• OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models (Adjali et al., SMM4H 2022)

ACL

• Omar Adjali, Fréjus A. A. Laleye, and Umang Aggarwal. 2022. OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models. In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, pages 171–175, Gyeongju, Republic of Korea. Association for Computational Linguistics.