A pragmatic introduction to natural language processing models (October 2019)
Talk @ O'Reilly AI, London, October 2019.
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Many natural language processing (NLP) tasks require each word in the input text to be mapped to a vector of real numbers. Julien Simon explores word vectors, why they’re so important, and which are the most popular algorithms to compute them (Word2Vec, GloVe, Elmo, BERT). You'll get to see how to solve typical NLP problems through several demos by either computing embeddings or reusing pretrained ones.
Talk @ O’Reilly AI, London, October 2019.
⭐️⭐️⭐️ Don’t forget to subscribe and to enable notifications ⭐️⭐️⭐️
Many natural language processing (NLP) tasks require each word in the input text to be mapped to a vector of real numbers. Julien Simon explores word vectors, why they’re so important, and which are the most popular algorithms to compute them (Word2Vec, GloVe, Elmo, BERT). You’ll get to see how to solve typical NLP problems through several demos by either computing embeddings or reusing pretrained ones.
