Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Question‐driven text summarization using an extractive‐abstractive framework
Question‐driven text summarization using an extractive‐abstractive framework
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Mahsa Abazari Kia
,
Aygul Garifullina
,
Mathias Kern
,
Jon Chamberlain
,
Shoaib Jameel
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Computational Intelligence
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
Memorization of Named Entities in Fine-tuned BERT Models
by: Diera, Andor, et al.
Published: (2022)
Retinal Lipidomics Associations as Candidate Biomarkers for Cardiovascular Health
by: Inamullah, et al.
Published: (2025)
RankSum An unsupervised extractive text summarization based on rank fusion
by: Joshi, A., et al.
Published: (2024)
Chain of Questions: Guiding Multimodal Curiosity in Language Models
by: Iji, Nima, et al.
Published: (2025)
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages
by: Almutairi, Ali, et al.
Published: (2025)