Table of Contents
Topics #
- Biomedical natural language processing
- Deep learning
- Dialog act
- Lexical feature selection
- Word embedding and Sentence embedding
- Sentiment analysis
- String metric
- Topic modeling
- Word segmentation
Books #
Tools and models #
Libraries #
- spaCy
- StanfordNLP
- NLTK
- KoNLPy
- http://stackoverflow.com/questions/13466584/korean-language-tokenizer
- Google cloud natural language API
- KenLM
- fastText
- BookNLP
- GluonNLP
Models #
- huggingface/pytorch-transformers - A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
- BERT
Tutorials and talks #
Data #
- SQuAD:The Stanford Question Answering Dataset
- http://googleresearch.blogspot.com/2013/12/free-language-lessons-for-computers.html
Courses #
- http://see.stanford.edu/see/courseinfo.aspx?coll=63480b48-8819-4efd-8412-263f1a472f5a by Christopher D. Manning
- https://www.coursera.org/course/nlp
- CS224d: Deep Learning for Natural Language Processing
- Videos: Natural Language Processing with Dan Jurafsky and Chris Manning, 2012
- Videos: Natural language processing with deep learning (winter 2017)
- YSDA course in Natural Language Processing
References #
Review #
Style #
- Success with Style: Using Writing Style to Predict the Success of Novels - can one predict the successful novels just by style and grammar?
Incoming Links #
Related Articles (Article 0) #
- Biomedical natural language processing
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- NLP
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- StanfordNLP
- scispaCy
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