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2022 COLING COLING 2022

OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models

Abstract

AbstractWe 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.

Authors

Omar Adjali, Fréjus A. A. Laleye, Umang Aggarwal

Topics

Natural Language Processing > Applications > Information Extraction Natural Language Processing > Resources & Methods > Large Language Models

Keywords

information extraction entity normalization adverse drug event transformer-based pretrained model

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