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  1. Implements the paper " Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models" by Serban et al (currently on the MovieTriples dataset)

    Python 89 25

  2. Pytorch implementation of the RaSoR paper "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016) and experiments with various neural components

    Python 13 3

  3. Implementation of the NACL 2016 Best paper "Unsupervised Learning for Dynamic Fictional Relationships by Iyyer et al"

    Python 1

  4. 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…

    Jupyter Notebook 1

  5. A neural net based shift-reduce dependency parser (LSTMs and MLP combiner networks, no pretrained embedding)

    HTML 1

  6. Aggregate markov language model (Saul & Pereira)

    Python 1

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2019

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