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

Natural Language Processing (861) Information Retrieval (335) Machine Learning (1937) Linguistics, Comprehension, and Learning (56)

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 (13) Tweetations (1) Metrics

Journals

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  8. Farea A, Yang Z, Duong K, Perera N, Emmert-Streib F. Evaluation of Question Answering Systems: Complexity of Judging a Natural Language. ACM Computing Surveys 2026;58(1):1 View

Conference Proceedings

  1. Chen Q, Peng Y, Lu Z. 2019 IEEE International Conference on Healthcare Informatics (ICHI). BioSentVec: creating sentence embeddings for biomedical texts View
  2. Du Y, Guo W, Zhao Y. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Hierarchical Question-Aware Context Learning with Augmented Data for Biomedical Question Answering View
  3. Ciampi M, Masciari E, de Pietro G, Silvestri S. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). A Big Data Approach for Health Data Information Retrieval View
  4. Kaddari Z, Mellah Y, Berrich J, Bouchentouf T, Belkasmi M. 2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS). Biomedical Question Answering: A Survey of Methods and Datasets View
  5. Kaddari Z, Berrich J, Rahmoun N, Belouali S, Bouchentouf T. 2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS). INKAD COVID-19 IntelliSearch: a multilingual search engine for answering questions about COVID-19 in real-time from the scientific literature View