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arXiv:1511.07916cs.CL

Natural Language Understanding with Distributed Representation

Kyunghyun Cho

Abstract

This is a lecture note for the course DS-GA 3001 <Natural Language Understanding with Distributed Representation> at the Center for Data Science , New York University in Fall, 2015. As the name of the course suggests, this lecture note introduces readers to a neural network based approach to natural language understanding/processing. In order to make it as self-contained as possible, I spend much time on describing basics of machine learning and neural networks, only after which how they are used for natural languages is introduced. On the language front, I almost solely focus on language modelling and machine translation, two of which I personally find most fascinating and most fundamental to natural language understanding.

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Journal reference
DOI
Subjects
cs.CLComputation and Language stat.MLMachine Learning (Statistics)

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  1. Softmax forever, or why I like softmax 1 comment

    • This looks like a personal blog post, in a blog where the author have avoided capitalization fairly consistently. The blog post was likely not meant to be a research paper, and reading it as a research paper is probably setting the wrong expectations. If people wanted to read…

      omoikaneView on HNParent context

  2. Oxford Deep NLP – An advanced course on natural language processing 1 comment

    • If you want more advanced materials, both Kyunghyun Cho and Yoav Goldberg posted excellent notes: https://arxiv.org/abs/1511.07916 and https://arxiv.org/abs/1510.00726

      Fede_VView on HNParent context

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