Using Large Pretrained Language Models for Answering User Queries from Product Specifications

While buying a product from the e-commerce websites, customers generally have a plethora of questions. From the perspective of both the e-commerce service provider as well as the customers, there must be an effective question answering system to provide immediate answers to the user queries... (read more)

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Methods used in the Paper


METHOD TYPE
Weight Decay
Regularization
Softmax
Output Functions
Attention Dropout
Regularization
BPE
Subword Segmentation
Layer Normalization
Normalization
Scaled Dot-Product Attention
Attention Mechanisms
WordPiece
Subword Segmentation
Residual Connection
Skip Connections
BERT
Language Models
Multi-Head Attention
Attention Modules
Adam
Stochastic Optimization
Dropout
Regularization
GELU
Activation Functions
Linear Warmup With Linear Decay
Learning Rate Schedules
SentencePiece
Tokenizers
Dense Connections
Feedforward Networks
XLNet
Transformers