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Author: Zhang Junlin
Timestamp:2014-10-3
This paper summarizes the application methods and techniques of deep learning in natural language processing in the last two years, and the related PPT content, please refer to this link, and the main outline is listed here.
Outline
- ?Introduction to Deep learning?underlying issues: language representation issues–Word Embedding–representation of different particle size language units ?character/Word/Word/Phrases/sentences/Document?a deep learning model worth focusing on–RAE (Recursive autoencoders)/tensor network/convolutional Networks?deep learning in natural language processingthe application–deep Learning for language models– Deep Learning for Chinese participle– Deep Learning for knowledge mining– deep Learning for emotional computing– deep Learning for machine translation– Deep Learning for paraphrase– Deep Learning for IR?Discussion and thinking
Application of deep learning in natural language processing (Version 0.76)
