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Semantic Latent Natural Language Modelling/AutoGen

This repository contains the code for extensions of the Natural Langauge generative model from Bowman et al..

At first we try to encode the semantic of the text into a latent variable, leaving the syntactical part to be handled by a Recursive Neural Network.

Subsequently we implement the AutoGen training procedure detailed in Mansbridge et al..

The code in this repository is used and cited in my dissertation for the MRes programme in Computational Statistics and Machine Learning at UCL, with David Barber as supervisor.

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