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

WS 2020 • Kalyani Roy • Smit Shah • Nithish Pai • Jaidam Ramtej • Prajit Prashant Nadkarn • Jyotirmoy Banerjee • Pawan Goyal • Surender Kumar

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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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

METHOD

TYPE

Weight Decay