Natural Language Understanding With Distributed Representation

Computer Science > Computation and Language arXiv:1511.07916 (cs) [Submitted on 24 Nov 2015] Title:Natural Language Understanding with Distributed Representation Authors:Kyunghyun Cho View a PDF of the paper titled Natural Language Understanding with Distributed Representation, by Kyunghyun Cho View PDF

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.

Subjects:	Computation and Language (cs.CL); Machine Learning (stat.ML)
Cite as:	arXiv:1511.07916 [cs.CL]
(or arXiv:1511.07916v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.1511.07916 Focus to learn more arXiv-issued DOI via DataCite

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From: KyungHyun Cho [view email] [v1] Tue, 24 Nov 2015 23:23:13 UTC (6,024 KB) Full-text links:

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