WonJin Yoon

Co-organized the second ChemoTimelines Shared Task at the 7th Clinical Natural Language Processing Workshop.

Gave an invited talk, “Natural Language Processing for Patient Outcome Prediction: Leveraging Clinical Notes and LLMs,” at the Department of Medical Informatics and Big Data Center, Asan Medical Center.

Co-organized the inaugural ChemoTimelines Shared Task at the 6th Clinical Natural Language Processing Workshop.

Gave an invited talk at the Columbia University NLP Seminar on characteristics, methods, and applications of biomedical NLP.

Gave an invited lecture at Ajou University Medical School on language models for the biomedical domain, from BioBERT to generative models.

Received the Standigm Paper Award from the Korean Society for Bioinformatics for sequence tagging for biomedical extractive question answering.

Presented our BioASQ 9 work in the Best of 2021 Labs track at CLEF 2022 in Bologna.

Gave an invited talk at AstraZeneca in Cambridge on TinyBERN and TinyBERN2.

Our team placed first in the BioCreative VII named-entity recognition track and third in the relation-extraction track.

Co-presented an invited talk at the AstraZeneca AI Jamboree on a general-purpose biomedical named-entity recognition and linking system.

Gave an invited seminar at the Research Institute of Nursing Science, Seoul National University, on biomedical NLP.

Our team won the 8th BioASQ Task B exact-answer track for the second consecutive year and also placed first in the ideal-answer track.

BioBERT was selected as one of three Best Papers in the NLP section of the 2020 IMIA Yearbook.

Received the Research Paper Award from the Korea University Department of Computer Science and Engineering.