Hierarchical Seq2seq

A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical encoder-decoder architecture for modeling conversation triples in the MovieTriples dataset. This version of the model is built for the MovieTriples dataset.
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Python
Deep Learning
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Natural Language Processing
Decoder
Encoder
Embeddings
Sequence To Sequence