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Detecting paraphrases using recursive autoencoders

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If you have a question about this talk, please contact Yingzhen Li.

In this RCC we will talk about work from Richard Socher applying deep learning to paraphrase detection (i.e. determining when two sentences carry the same meaning). We will give an introduction to distributional semantics and models/techniques relevant to the sentence similarity task, then dive deep on the novel contributions of the referenced paper and compare it against existing work. We will conclude with surveying the current state of the art and highlighting potential directions for additional research.

optional reading Paper and Code: Dynamic Pooling And Unfolding Recursive Autoencoders For Paraphrase Detection

This talk is part of the Machine Learning Reading Group @ CUED series.

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