no code implementations • EMNLP (ECONLP) 2021 • Kyunghwan Sohn, Sunjae Kwon, Jaesik Choi
A domain specific question answering (QA) dataset dramatically improves the machine comprehension performance.
1 code implementation • 9 Mar 2024 • Zhichao Yang, Avijit Mitra, Sunjae Kwon, Hong Yu
The advancement of natural language processing (NLP) systems in healthcare hinges on language model ability to interpret the intricate information contained within clinical notes.
no code implementations • 9 Feb 2024 • Hochul Hwang, Sunjae Kwon, Yekyung Kim, Donghyun Kim
Safely navigating street intersections is a complex challenge for blind and low-vision individuals, as it requires a nuanced understanding of the surrounding context - a task heavily reliant on visual cues.
1 code implementation • 24 Dec 2023 • Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu
The advancement in healthcare has shifted focus toward patient-centric approaches, particularly in self-care and patient education, facilitated by access to Electronic Health Records (EHR).
1 code implementation • 24 Oct 2023 • Ye Eun Chun, Sunjae Kwon, Kyunghwan Sohn, Nakwon Sung, Junyoup Lee, Byungki Seo, Kevin Compher, Seung-won Hwang, Jaesik Choi
In this paper, we introduce CR-COPEC called Causal Rationale of Corporate Performance Changes from financial reports.
1 code implementation • 5 Jul 2023 • Sunjae Kwon, Xun Wang, Weisong Liu, Emily Druhl, Minhee L. Sung, Joel I. Reisman, Wenjun Li, Robert D. Kerns, William Becker, Hong Yu
Experimental results show that the prompt-tuning models outperformed the fine-tuning models in most categories and the gains were especially higher among uncommon categories (Suggested Aberrant Behavior, Confirmed Aberrant Behaviors, Diagnosed Opioid Dependence, and Medication Change).
1 code implementation • 2 May 2023 • Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu
Specifically, we suggest employing Bayesian inference to incorporate the sense definitions when sense information of the answer is not provided.
no code implementations • 26 Nov 2022 • Sunjae Kwon, Zhichao Yang, Hong Yu
The transfer learning framework helps SOAP classification model's inter-hospital migration with a minimal size of the manually annotated dataset.
1 code implementation • 24 Nov 2022 • Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu
This task is challenging due to the high-dimensional space of multi-label assignment (155, 000+ ICD code candidates) and the long-tail challenge - Many ICD codes are infrequently assigned yet infrequent ICD codes are important clinically.
1 code implementation • 12 Oct 2022 • Sunjae Kwon, Zonghai Yao, Harmon S. Jordan, David A. Levy, Brian Corner, Hong Yu
We first present a novel and publicly available dataset with expert-annotated medical jargon terms from 18K+ EHR note sentences ($MedJ$).
1 code implementation • 1 Sep 2022 • Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, Jaesik Choi
We exemplify the possibility to overcome the limitations of the MNLM-based RC models by enriching text with the required knowledge from an external commonsense knowledge repository in controlled experiments.
no code implementations • 11 Nov 2019 • Sunjae Kwon, Dongsuk Oh, Youngjoong Ko
Furthermore, our system outperformed the existing knowledge-based WSD systems and showed a performance comparable to that of the state-of-the-art supervised WSD systems.
no code implementations • 8 Nov 2019 • Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, Jaesik Choi
From the test, we observed that MNLMs partially understand various types of common sense knowledge but do not accurately understand the semantic meaning of relations.
1 code implementation • COLING 2018 • Dongsuk O, Sunjae Kwon, Kyungsun Kim, Youngjoong Ko
Word sense disambiguation (WSD) is the task to determine the word sense according to its context.
no code implementations • WS 2017 • Juae Kim, Sunjae Kwon, Youngjoong Ko, Jungyun Seo
To generate a large amount of machine-labeled data, firstly we generate an initial machine-labeled data by using a chunker and MetaMap.