|
gptkbp:instance_of
|
gptkb:Model
|
|
gptkbp:application
|
information extraction
|
|
gptkbp:architecture
|
gptkb:Transformers
|
|
gptkbp:collaboration
|
academic institutions
industry partners
NLP community
|
|
gptkbp:components
|
gptkb:original_programming
encoder
tokenizer
|
|
gptkbp:developed_by
|
gptkb:Microsoft
|
|
gptkbp:evaluates
|
gptkb:TREC
gptkb:CORD
gptkb:SQu_AD
gptkb:Doc_VQA
gptkb:FUNSD
SROIE
|
|
gptkbp:focus_area
|
yes
|
|
gptkbp:has_documentation
|
https://github.com/microsoft/layoutlmv3/blob/main/ README.md
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Layout LMv3
|
|
gptkbp:hyperparameter_tuning
|
yes
|
|
gptkbp:input_output
|
structured data
PDF, images
text and layout information
Text and Layout
|
|
gptkbp:is_tasked_with
|
document understanding
Document Understanding
|
|
gptkbp:is_trained_in
|
Document Images
|
|
gptkbp:language_support
|
multiple languages
|
|
gptkbp:license
|
MIT License
|
|
gptkbp:losses
|
cross-entropy
|
|
gptkbp:model
|
gptkb:medium
large
small
|
|
gptkbp:performance
|
F1 score
|
|
gptkbp:predecessor
|
gptkb:Layout_LMv2
|
|
gptkbp:provides_information_on
|
document images
|
|
gptkbp:release_date
|
gptkb:2022
|
|
gptkbp:repository
|
gptkb:Git_Hub
https://github.com/microsoft/layoutlmv3
|
|
gptkbp:successor
|
gptkb:Layout_LMv4
|
|
gptkbp:supports
|
multi-modal tasks
|
|
gptkbp:training
|
supervised learning
|
|
gptkbp:training_programs
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:tuning
|
gptkb:Adam
yes
|
|
gptkbp:use_case
|
gptkb:Biology
question answering
data extraction
named entity recognition
semantic segmentation
invoice processing
contract analysis
form processing
table extraction
receipt analysis
|
|
gptkbp:uses
|
visual features
|
|
gptkbp:bfsParent
|
gptkb:Super_GLUE_benchmark
|
|
gptkbp:bfsLayer
|
5
|