An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator
-
Updated
Dec 31, 2020 - Python
An Abstractive Summarization(for Datasets in English format) Implementation with Transformer and Pointer-generator
A Seq2Seq with attention and copy mechanism for sentence summarization
CopyNet (Copy Mechanism in Seq2Seq) implementation with TensorFlow 2
Seq2Seq model implemented with pytorch, using Copy Mechanism and Coverage Mechanism.
A few approaches using sequence to sequence (seq2seq) architecture to solve semantice parsing problem
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).
Add a description, image, and links to the copy-mechanism topic page so that developers can more easily learn about it.
To associate your repository with the copy-mechanism topic, visit your repo's landing page and select "manage topics."