1 code implementation • 27 Jan 2024 • Minbyul Jeong, Jiwoong Sohn, Mujeen Sung, Jaewoo Kang
To address challenges that still cannot be handled with the encoded knowledge of LLMs, various retrieval-augmented generation (RAG) methods have been developed by searching documents from the knowledge corpus and appending them unconditionally or selectively to the input of LLMs for generation.
1 code implementation • 24 Oct 2022 • Minbyul Jeong, Jaewoo Kang
A notable advantage of NER is its consistency in extracting biomedical entities in a document context.
Ranked #1 on Named Entity Recognition (NER) on Gellus
1 code implementation • 6 Jan 2022 • Mujeen Sung, Minbyul Jeong, Yonghwa Choi, Donghyeon Kim, Jinhyuk Lee, Jaewoo Kang
In biomedical natural language processing, named entity recognition (NER) and named entity normalization (NEN) are key tasks that enable the automatic extraction of biomedical entities (e. g. diseases and drugs) from the ever-growing biomedical literature.
1 code implementation • 11 Jun 2021 • Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Despite the success of GNNs, most existing GNNs are designed to learn node representations on the fixed and homogeneous graphs.
1 code implementation • 15 Apr 2021 • Minbyul Jeong, Jaewoo Kang
Pre-trained language models (PLMs) are used to solve NER tasks and tend to be biased toward dataset patterns such as length statistics, surface form, and skewed class distribution.
Ranked #3 on Named Entity Recognition (NER) on WNUT 2017
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.
1 code implementation • NeurIPS 2019 • Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
In this paper, we propose Graph Transformer Networks (GTNs) that are capable of generating new graph structures, which involve identifying useful connections between unconnected nodes on the original graph, while learning effective node representation on the new graphs in an end-to-end fashion.
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.
3 code implementations • 7 Aug 2019 • Raehyun Kim, Chan Ho So, Minbyul Jeong, Sang-Hoon Lee, Jinkyu Kim, Jaewoo Kang
Methods that use relational data for stock market prediction have been recently proposed, but they are still in their infancy.