no code implementations • SMM4H (COLING) 2022 • Antoine Lain, Wonjin Yoon, Hyunjae Kim, Jaewoo Kang, Ian Simpson
This paper describes our system developed for the Social Media Mining for Health (SMM4H) 2022 SocialDisNER task.
1 code implementation • 1 Dec 2022 • Wonjin Yoon, Richard Jackson, Elliot Ford, Vladimir Poroshin, Jaewoo Kang
In order to assist the drug discovery/development process, pharmaceutical companies often apply biomedical NER and linking techniques over internal and public corpora.
no code implementations • 20 Nov 2021 • Hyunjae Kim, Mujeen Sung, Wonjin Yoon, Sungjoon Park, Jaewoo Kang
This paper is a technical report on our system submitted to the chemical identification task of the BioCreative VII Track 2 challenge.
1 code implementation • 15 Apr 2021 • Wonjin Yoon, Richard Jackson, Aron Lagerberg, Jaewoo Kang
Following general domain EQA models, current biomedical EQA (BioEQA) models utilize the single-span extraction setting with post-processing steps.
2 code implementations • 1 Jul 2020 • Minbyul Jeong, Mujeen Sung, Gangwoo Kim, Donghyeon Kim, Wonjin Yoon, Jaehyo Yoo, Jaewoo Kang
We observe that BioBERT trained on the NLI dataset obtains better performance on Yes/No (+5. 59%), Factoid (+0. 53%), List type (+13. 58%) questions compared to performance obtained in a previous challenge (BioASQ 7B Phase B).
1 code implementation • EMNLP (NLP-COVID19) 2020 • Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang
The recent outbreak of the novel coronavirus is wreaking havoc on the world and researchers are struggling to effectively combat it.
1 code implementation • 18 Feb 2020 • Wonjin Yoon, Yoon Sun Yeo, Minbyul Jeong, Bong-Jun Yi, Jaewoo Kang
By harnessing pre-trained language models, summarization models had rapid progress recently.
3 code implementations • 18 Sep 2019 • Wonjin Yoon, Jinhyuk Lee, Donghyeon Kim, Minbyul Jeong, Jaewoo Kang
The recent success of question answering systems is largely attributed to pre-trained language models.
19 code implementations • 25 Jan 2019 • Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang
Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows.
2 code implementations • 21 Sep 2018 • Wonjin Yoon, Chan Ho So, Jinhyuk Lee, Jaewoo Kang
Our model has successfully reduced the number of misclassified entities and improved the performance by leveraging multiple datasets annotated for different entity types.
Ranked #16 on Named Entity Recognition (NER) on BC5CDR