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KAZ
ENG
RUS
Relationship: addressedBy
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Total Relationships: 143
Source Entity
Source Type
Relationship
Target Entity
Type
Legal Named Entities Extraction
task
addressedBy
Deep Learning
method
Legal Text Understanding
task
addressedBy
Auxiliary Task Learning
method
Legal Text Understanding
task
addressedBy
Data Augmentation
method
Legal Text Understanding
task
addressedBy
Domain Adaptive Pretraining
method
Legal Text Understanding
task
addressedBy
Hierarchical Model
method
Legal Text Understanding
task
addressedBy
ModelEnsemble
method
Lexical Gap
otherentity
addressedBy
Query Expansion
method
List Questions
material
addressedBy
Question Answering
task
Low Frequency
otherentity
addressedBy
Delexicalized Entity Identification
method
Low Resource NMT
task
addressedBy
Transfer Learning
method
Morphological Disambiguation
task
addressedBy
Pointer Network
method
Morphological Variation
otherentity
addressedBy
Morphology Aware Alignment Model
method
Multi Hop Reading Comprehension
task
addressedBy
Heterogeneous Document Entity Graph
method
Multi Party Dialogues
material
addressedBy
Discourse Aware Model
method
Multi-turn Response Generation
task
addressedBy
Deep Architectures
method
MultiCoNER II
material
addressedBy
Information Retrieval Pipeline
method
Multilingual Tweet Intimacy Analysis
task
addressedBy
Data Augmentation
method
Multilingual Tweet Intimacy Analysis
task
addressedBy
Multilingual BERT
method
Multilingual Tweet Intimacy Analysis
task
addressedBy
Transfer Learning
method
Multilingual Tweet Intimacy Analysis
task
addressedBy
XLM
method
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