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Implements the paper " Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models" by Serban et al (currently on the MovieTriples dataset)
Pytorch implementation of the RaSoR paper "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016) and experiments with various neural components
this implements a skip-gram model to specialize word embeddings to capture word similarity and not just trivial word relatedness, this is done by training on PPDB. Also includes more experiemnts on…