A Seq2Seq with attention and copy mechanism for sentence summarization
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Updated
Mar 11, 2019 - Python
A Seq2Seq with attention and copy mechanism for sentence summarization
An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator
CopyNet (Copy Mechanism in Seq2Seq) implementation with TensorFlow 2
A few approaches using sequence to sequence (seq2seq) architecture to solve semantice parsing problem
Seq2Seq model implemented with pytorch, using Copy Mechanism and Coverage Mechanism.
NAACL 2018 Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (only supports Bahdanau Attention right now).
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