自然语言处理资源大全
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▍目录
课程
书籍
讲座
框架
论文
博客
学者
数据集
其它
▍课程
CS224d: Deep Learning for Natural Language Processing from Stanford
Course homepage A complete survey of the field with videos, lecture slides, and sample student projects.
Course Lectures Video playlist.
Course notes Probably the best “book” on DL for NLP.
Neural Networks for NLP from Carnegie Mellon University
Coures homepage
Course Lectures
Course code
▍书籍
Neural Network Methods in Natural Language Processing by Yoav Goldberg and Graeme Hirst
Deep Learning in Natural Language Processing by Li Deng and Dang Liu
Natural Language Processing in Action by Hobson Lane, Cole Howard, and Hannes Hapke
▍教程
Deep Learning for Natural Language Processing (without Magic)
A Primer on Neural Network Models for Natural Language Processing
Deep Learning for Natural Language Processing: Theory and Practice (Tutorial)
TensorFlow Tutorials
Practical Neural Networks for NLP from EMNLP 2016 using DyNet framework
Recurrent Neural Networks with Word Embeddings
LSTM Networks for Sentiment Analysis
TensorFlow demo using the Large Movie Review Dataset
LSTMVis: Visual Analysis for Recurrent Neural Networks
▍讲座
Ali Ghodsi‘s lecture on word2vec part 1 and part 2
Richard Socher’s talk on sentiment analysis, question answering, and sentence-image embeddings
Deep Learning, an interactive introduction for NLP-ers
Deep Natural Language Understanding
Deep Learning Summer School, Montreal 2016 Includes state-of-art language modeling.
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