WonJin Yoon

WonJin Yoon

Korea University

H-index: 10

Asia-South Korea

About WonJin Yoon

WonJin Yoon, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Korea University, specializes in the field of BioNLP, Clinical NLP, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4 Notebook for the BioASQ Lab at CLEF 2023

Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework

Ku_ed at socialdisner: Extracting disease mentions in tweets written in spanish

Data-centric and model-centric approaches for biomedical question answering

Pandemics are catalysts of scientific novelty: Evidence from COVID‐19

Sequence tagging for biomedical extractive question answering

Full-text chemical identification with improved generalizability and tagging consistency

Improving tagging consistency and entity coverage for chemical identification in full-text articles

WonJin Yoon Information

University

Position

PhD Student

Citations(all)

5306

Citations(since 2020)

5292

Cited By

1129

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

WonJin Yoon Skills & Research Interests

BioNLP

Clinical NLP

Natural Language Processing

Top articles of WonJin Yoon

Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4 Notebook for the BioASQ Lab at CLEF 2023

CEUR Workshop Proceedings

2023

Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework

arXiv preprint arXiv:2212.00223

2022/12/1

Wonjin Yoon
Wonjin Yoon

H-Index: 6

Richard Jackson
Richard Jackson

H-Index: 20

Ku_ed at socialdisner: Extracting disease mentions in tweets written in spanish

2022/10

Wonjin Yoon
Wonjin Yoon

H-Index: 6

Hyunjae Kim
Hyunjae Kim

H-Index: 5

Data-centric and model-centric approaches for biomedical question answering

2022/8/25

Pandemics are catalysts of scientific novelty: Evidence from COVID‐19

Journal of the Association for Information Science and Technology

2022/8

Sequence tagging for biomedical extractive question answering

Bioinformatics

2022/8/1

Wonjin Yoon
Wonjin Yoon

H-Index: 6

Richard Jackson
Richard Jackson

H-Index: 20

Full-text chemical identification with improved generalizability and tagging consistency

Database

2022/1/1

Improving tagging consistency and entity coverage for chemical identification in full-text articles

arXiv preprint arXiv:2111.10584

2021/11/20

Answering questions on COVID-19 in real-time

2020/6/29

Learning by semantic similarity makes abstractive summarization better

arXiv preprint arXiv:2002.07767

2020/2/18

Wonjin Yoon
Wonjin Yoon

H-Index: 6

Minbyul Jeong
Minbyul Jeong

H-Index: 6

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Bioinformatics

2020/2/15

Answering Questions on COVID-19 in Real-Time (preprint)

2020

Transferability of Natural Language Inference to Biomedical Question Answering

BioASQ Workshop, CLEF

2020/7/1

See List of Professors in WonJin Yoon University(Korea University)

Co-Authors

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