Statements (75)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:dictionary
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Layout_LM
|
| gptkbp:aims_to |
answer questions from documents
|
| gptkbp:applies_to |
PDF documents
|
| gptkbp:benefits |
business intelligence
|
| gptkbp:can_be |
structured documents
|
| gptkbp:challenges |
document layout variability
|
| gptkbp:collaborated_with |
universities
tech companies |
| gptkbp:collaborations |
data scientists
industry partners |
| gptkbp:competes_with |
other VQA systems
|
| gptkbp:contributed_to |
gptkb:Research_Institute
|
| gptkbp:developed_by |
gptkb:Graphics_Processing_Unit
gptkb:Microsoft_Research |
| gptkbp:enhances |
information retrieval
|
| gptkbp:exhibited_at |
conferences
|
| gptkbp:focuses_on |
Document understanding
|
| https://www.w3.org/2000/01/rdf-schema#label |
Doc VQA
|
| gptkbp:includes |
image processing
|
| gptkbp:is_adopted_by |
enterprises
|
| gptkbp:is_analyzed_in |
performance metrics
|
| gptkbp:is_designed_to |
improve user experience
|
| gptkbp:is_documented_in |
research papers
technical reports user manuals |
| gptkbp:is_enhanced_by |
user engagement
user feedback transfer learning collaborative filtering |
| gptkbp:is_evaluated_by |
user satisfaction surveys
peer reviews benchmark tests human annotators automated metrics VQA datasets |
| gptkbp:is_explored_in |
workshops
case studies thesis projects research collaborations |
| gptkbp:is_implemented_in |
gptkb:Library
|
| gptkbp:is_influenced_by |
transformer models
|
| gptkbp:is_integrated_with |
gptkb:Cloud_Computing_Service
data analytics tools business workflows |
| gptkbp:is_part_of |
AI research initiatives
AI-driven solutions AI toolkits AI ecosystems NLP applications |
| gptkbp:is_promoted_by |
social media
workshops online courses |
| gptkbp:is_related_to |
gptkb:software_framework
|
| gptkbp:is_supported_by |
gptkb:Cloud_Computing_Service
community contributions community forums industry standards research grants open-source libraries |
| gptkbp:is_tested_for |
real-time applications
real-world applications baseline models user studies |
| gptkbp:is_used_for |
data extraction
automated document processing |
| gptkbp:is_used_in |
gptkb:academic_research
|
| gptkbp:is_utilized_in |
gptkb:railway_line
knowledge management legal document analysis |
| gptkbp:requires |
large datasets
|
| gptkbp:supports |
multi-modal inputs
|
| gptkbp:uses |
Deep learning
|
| gptkbp:utilizes |
OCR technology
|