Table of Contents [31] Lecture 1: Word Vectors[32] Lecture 2: Word Vectors 2 and Word Window Classification 본 포스팅은 CS224N을 한국어로 정리한 포스팅입니다 CS224N lecture overview CS224N lecture vedio [31] Lecture 1: Word Vectors learn 31 INTRO Problems with NLP Problems resources like WordNet Representing words as discrete symbols Word2Vec Representing words by their context Word2Vec Overview Word2vec: objective function more about objective function train the model [32] Lecture 2: Word Vectors 2 and Word Window Classification learn 32 INTRO Word2vec2 negative sampling aside co-occurrence matrix GLOVE evaluate word vectors Intrinsic Extrinsic Word senses and word sense ambiguity Deep Learning Share Tweet +1