Transcription of CS224n: Natural Language Processing with Deep Learning ...
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CS224n: Natural Language Processing with DeepLearning11 Course Instructors: ChristopherManning, Richard SocherLecture Notes: Part IWord Vectors I: Introduction, SVD and Word2 Vec22 Authors: Francois Chaubard, MichaelFang, Guillaume Genthial, RohitMundra, Richard SocherWinter2019 Keyphrases: Natural Language Processing . Word Vectors. Singu-lar Value Decomposition. Skip-gram. Continuous Bag of Words(CBOW). Negative Sampling. Hierarchical Softmax. set of notes begins by introducing the concept of NaturalLanguage Processing (NLP) and the problems NLP faces today. Wethen move forward to discuss the concept of representing words asnumeric vectors. Lastly, we discuss popular approaches to designingword to Natural Language ProcessingWe begin with a general discussion of what is is so special about NLP?What s so special about human ( Natural ) Language ?
1 Introduction to Natural Language Processing We begin with a general discussion of what is NLP. 1.1 What is so special about NLP? What’s so special about human (natural) language? Human language is a system specifically constructed to convey meaning, and is not produced by a physical manifestation of any kind. In that way, it is
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