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• W2178333206 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." @default.
• W2178333206 created "2016-06-24" @default.
• W2178333206 creator A5030087918 @default.
• W2178333206 date "2015-11-24" @default.
• W2178333206 modified "2023-10-17" @default.
• W2178333206 title "Natural Language Understanding with Distributed Representation" @default.
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• W2178333206 doi "https://doi.org/10.48550/arxiv.1511.07916" @default.

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