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

BACKGROUND: Question-driven summarization has become a practical and accurate approach to summarizing the source document. The generated summary should be concise and consistent with the concerned question, and thus, it could be regarded as the answer to the nonfactoid question. Existing methods do...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xin, Wang, Jian, Xu, Bo, Lin, Hongfei, Zhang, Bo, Yang, Zhihao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425173/
https://www.ncbi.nlm.nih.gov/pubmed/35969463
http://dx.doi.org/10.2196/38052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425173/
https://www.ncbi.nlm.nih.gov/pubmed/35969463
http://dx.doi.org/10.2196/38052

Ejemplares similares