CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering

1 Nov 2020 Junru Lu Gabriele Pergola Lin Gui Binyang Li Yulan He

We introduce CHIME, a cross-passage hierarchical memory network for question answering (QA) via text generation. It extends XLNet introducing an auxiliary memory module consisting of two components: the context memory collecting cross-passage evidences, and the answer memory working as a buffer continually refining the generated answers... (read more)

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Methods used in the Paper


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