This paper is in the following e-collection/theme issue:

Natural Language Processing (693) Information Retrieval (287) Machine Learning (1465) Linguistics, Comprehension, and Learning (52)

Published on in Vol 6, No 1 (2018): Jan-Mar

A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis

A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis

A Pilot Study of Biomedical Text Comprehension using an Attention-Based Deep Neural Reader: Design and Experimental Analysis

Authors of this article:

Seongsoon Kim1 Author Orcid Image ;   Donghyeon Park1 Author Orcid Image ;   Yonghwa Choi1 Author Orcid Image ;   Kyubum Lee1 Author Orcid Image ;   Byounggun Kim2 Author Orcid Image ;   Minji Jeon1 Author Orcid Image ;   Jihye Kim3 Author Orcid Image ;   Aik Choon Tan3 Author Orcid Image ;   Jaewoo Kang1 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

Seongsoon Kim   1 * , PhD ;   Donghyeon Park   1 * , MSc ;   Yonghwa Choi   1 * , BS ;   Kyubum Lee   1 , PhD ;   Byounggun Kim   2 , BS ;   Minji Jeon   1 , MSc ;   Jihye Kim   3 , PhD ;   Aik Choon Tan   3 , PhD ;   Jaewoo Kang   1 , PhD

1 Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea

2 Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul, Republic of Korea

3 Division of Medical Oncology, Department of Medicine, Translational Bioinformatics and Cancer Systems Biology Laboratory, University of Colorado Anschutz Medical Campus, Aurora, CO, United States

*these authors contributed equally

Corresponding Author:

  • Jaewoo Kang, PhD
  • Department of Computer Science and Engineering
  • College of Informatics
  • Korea University
  • 145 Anam-ro, Seongbuk-Gu
  • Seoul, 02841
  • Republic of Korea
  • Phone: 82 02-3290-4840
  • Email: kangj@korea.ac.kr