Wonjin Yoon

Orcid: 0000-0002-6435-548X

According to our database1, Wonjin Yoon authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Overview of the 2024 Shared Task on Chemotherapy Treatment Timeline Extraction.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
Biomedical relation extraction with knowledge base-refined weak supervision.
Database J. Biol. Databases Curation, 2023

Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Pandemics are catalysts of scientific novelty: Evidence from COVID-19.
J. Assoc. Inf. Sci. Technol., 2022

Sequence tagging for biomedical extractive question answering.
Bioinform., 2022

Full-text chemical identification with improved generalizability and tagging consistency.
Database J. Biol. Databases Curation, 2022

Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Data-Centric and Model-Centric Approaches for Biomedical Question Answering.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles.
CoRR, 2021

KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
Can pandemics transform scientific novelty? Evidence from COVID-19.
CoRR, 2020

Learning by Semantic Similarity Makes Abstractive Summarization Better.
CoRR, 2020

BioBERT: a pre-trained biomedical language representation model for biomedical text mining.
Bioinform., 2020

Answering Questions on COVID-19 in Real-Time.
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Transferability of Natural Language Inference to Biomedical Question Answering.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
CollaboNet: collaboration of deep neural networks for biomedical named entity recognition.
BMC Bioinform., 2019

A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining.
IEEE Access, 2019

Pre-trained Language Model for Biomedical Question Answering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019


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