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ENG
KAZ
ENG
RUS
Relationship: proposedFor
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Total Relationships: 137
Source Entity
Source Type
Relationship
Target Entity
Type
Cross Lingual Word Embeddings
method
proposedFor
Data Selection
method
Cross Sentence Context Aware Architecture
method
proposedFor
SemanticMatching
metric
Cross Sentence Relation Extraction
method
proposedFor
Multiscale Neural Architecture
method
DEQA
material
proposedFor
Dialogue Understanding Task
task
Data Augmentation
method
proposedFor
Quality Estimation
task
Decision Theory
method
proposedFor
Sentiment Corpus
material
Deep Recurrent Neural Networks
method
proposedFor
Relation Classification
task
Deep Structured Model
method
proposedFor
Named Entity Recognition
task
Document Based Graph Model
method
proposedFor
Multi Document Summarization
task
Domain Adaptation
method
proposedFor
Named Entity Recognition
task
Double Path Networks
method
proposedFor
Sequence to Sequence Learning
task
Dyadic Attention Mechanism
method
proposedFor
Emotion Analysis
task
Dyadic Attention Mechanism
method
proposedFor
Sentiment Analysis
task
Dynamic Programming Parsing Algorithm
method
proposedFor
Modifications
otherentity
EdgeOrientedGraphNeuralModel
method
proposedFor
Document Level Relation Extraction
task
Efficient Hybrid Generation
method
proposedFor
Aspect Based Sentiment Analysis
task
Efficient KD Paradigm
method
proposedFor
BERT Compression
task
Encoder Detector Framework
method
proposedFor
Domain Detection
task
Episodic Memory QA Net
method
proposedFor
Episodic Memory QA
task
Evaluation Metrics
metric
proposedFor
Knowledge-Based Machine Translation
method
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