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https://github.com/shashwath94/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.
https://github.com/shashwath94/hierarchical-seq2seq
deep-learning hred nlp pytorch seq2seq-pytorch
Last synced: 20 days ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/shashwath94/hierarchical-seq2seq
- Owner: shashwath94
- Created: 2018-05-05T14:49:17.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-05-05T16:32:56.000Z (over 6 years ago)
- Last Synced: 2023-03-09T09:11:12.101Z (over 1 year ago)
- Topics: deep-learning, hred, nlp, pytorch, seq2seq-pytorch
- Language: Python
- Homepage:
- Size: 22.5 KB
- Stars: 28
- Watchers: 5
- Forks: 4
- Open Issues: 3