Multi-granularity adaptive extractive document summarization with heterogeneous graph neural networks
The crucial aspect of extractive document summarization lies in understanding the interrelations between sentences. Documents inherently comprise a multitude of sentences, and sentence-level models frequently fail to consider the relationships between distantly-placed sentences, resulting in the omi...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-12-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1737.pdf |