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Nnwww 2019/03/17
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machine learning

dimension
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Approaching (Almost) Any NLP Problem on Kaggle
Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources
Nnwww 2018/09/27
kaggle

nlp

machine_learning
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Stanford CS 224N | Natural Language Processing with Deep Learning
Logistics Lectures: are on Tuesday/Thursday 4:30 PM - 5:50 PM Pacific Time in NVIDIA Auditorium. The lectures will also be livestreamed on Canvas via Panopto. Lecture videos for enrolled students: are posted on Canvas (requires login) shortly after each lecture ends. Unfortunately, it is not possible to make these videos viewable by non-enrolled students. Publ icly available lecture videos and vers
Nnwww 2018/04/04
nlp

deep learning

machine_learning
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Word embeddings in 2017: Trends and future directions
Word embeddings in 2017: Trends and future directions Word embeddings are an integral part of current NLP models, but approaches that supersede the original word2vec have not been proposed. This post focuses on the deficiencies of word embeddings and how recent approaches have tried to resolve them. This post discusses the deficiencies of word embeddings and how recent approaches have tried to res
Nnwww 2017/10/23
word embeddingé–¢é€£è«–æ–‡é›†ã€‚ã‚µãƒ¼ãƒ™ã‚¤ã—ãŸã‹ã£ãŸã®ã§æ‰‹é–“ãŒçœã‘ã‚‹ã€‚

research

nlp

machine_learning
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Nnwww 2017/03/06
corpus

nlp
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