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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Clinical Informatics (1293) New Methods (1119) Natural Language Processing (893) Clinical Information and Decision Making (1870)

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 (1) Tweetations (4) Metrics

Conference Proceedings

  1. Moung E, Tong T, Sufian M, Liaw V, Farzamnia A, Yahya F. 2024 14th International Conference on Computer and Knowledge Engineering (ICCKE). Optimizing Question-Answering Framework Through Integration of Text Summarization Model and Third-Generation Generative Pre-Trained Transformer View