Skip to main navigation
Skip to search
Skip to main content
University of Portsmouth Home
Help & FAQ
Link opens in a new tab
Search content at University of Portsmouth
Home
Profiles
Organisations
Research outputs
Student theses
Datasets
Projects
Activities
Prizes
Press/Media
Equipment
Enhanced topic-aware summarization using statistical graph neural networks
Ayesha Khaliq
, Salman Afsar Awan
,
Fahad Ahmad
, Muhammad Azam Zia
, Muhammad Zafar Iqbal
Portsmouth AI and Data Science Centre
Centre for Cybercrime and Economic Crime
Portsmouth Centre for Advanced Materials and Manufacturing
Research output
:
Contribution to journal
›
Article
›
peer-review
199
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Enhanced topic-aware summarization using statistical graph neural networks'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Bidirectional Encoder Representations From Transformers
100%
Latent Dirichlet Allocation
100%
Graph Neural Network
100%
Graph Attention Network
100%
Superior Performance
50%
Online Content
50%
Global Information
50%
Text Summarization
50%
Textual Document
50%
Paramount Importance
50%
Big Data
50%
Interconnectivity
50%
Capacity Model
50%
Document Context
50%
Inverse Document Frequency
50%
INIS
neural networks
100%
graphs
100%
transformers
75%
information
50%
allocations
50%
dirichlet problem
50%
data
25%
modeling
25%
evaluation
25%
values
25%
expansion
25%
datasets
25%
performance
25%
capacity
25%
cables
25%
benchmarks
25%