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CoVA: Context-aware Visual Attention for Webpage Information Extraction
Anurendra Kumar
, Keval Morabia
, Jingjin Wang
,
Kevin Chen Chuan Chang
,
Alexander Schwing
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Coordinated Science Lab
Siebel School of Computing and Data Science
Social & Behavioral Sciences Institute
Research output
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Keyphrases
Information Extraction
100%
Visual Attention
100%
Context-aware
100%
Attention-based
100%
Model Tree
60%
Document Object Model
60%
State-of-the-art Techniques
20%
Knowledge Base
20%
Detection Task
20%
Appearance Features
20%
Product Price
20%
Object Detection
20%
Product Image
20%
E-commerce Platform
20%
Information Extraction Models
20%
Product Title
20%
Web Elements
20%
Attention-based Approach
20%
Computer Science
Information Extraction
100%
Visual Attention
100%
Document Object Model
75%
Object Detection
25%
Knowledge Base
25%
Commerce Website
25%
Detection Pipeline
25%