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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Clinical Informatics (904) New Methods (901) Natural Language Processing (636) Clinical Information and Decision Making (1314)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38052, first published .
Exploiting Intersentence Information for Better Question-Driven Abstractive Summarization: Algorithm Development and Validation

Exploiting Intersentence Information for Better Question-Driven Abstractive Summarization: Algorithm Development and Validation

Exploiting Intersentence Information for Better Question-Driven Abstractive Summarization: Algorithm Development and Validation

Authors of this article:

Xin Wang1 Author Orcid Image ;   Jian Wang1 Author Orcid Image ;   Bo Xu1 Author Orcid Image ;   Hongfei Lin1 Author Orcid Image ;   Bo Zhang1 Author Orcid Image ;   Zhihao Yang1 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Xin Wang   1 , MSc ;   Jian Wang   1 , PhD ;   Bo Xu   1 , PhD ;   Hongfei Lin   1 , PhD ;   Bo Zhang   1 , PhD ;   Zhihao Yang   1 , PhD

1 School of Computer Science and Technology, Dalian University of Technology, Dalian, China

Corresponding Author:

  • Jian Wang, PhD
  • School of Computer Science and Technology
  • Dalian University of Technology
  • No 2 Linggong Road
  • Dalian, 116023
  • China
  • Phone: 86 13604119266
  • Email: wangjian@dlut.edu.cn