Multilingual Corpus Creation for Multilingual Semantic Similarity Task

In natural language processing, the performance of a semantic similarity task relies heavily on the availability of a large corpus. Various monolingual corpora are available (mainly English); but multilingual resources are very limited... (read more)

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Methods used in the Paper


METHOD TYPE
Cosine Annealing
Learning Rate Schedules
Softmax
Output Functions
Layer Normalization
Normalization
Scaled Dot-Product Attention
Attention Mechanisms
Discriminative Fine-Tuning
Fine-Tuning
Residual Connection
Skip Connections
Multi-Head Attention
Attention Modules
Weight Decay
Regularization
Adam
Stochastic Optimization
Dropout
Regularization
GELU
Activation Functions
Attention Dropout
Regularization
Linear Warmup With Cosine Annealing
Learning Rate Schedules
BPE
Subword Segmentation
Dense Connections
Feedforward Networks
GPT
Transformers