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EPISODE · Mar 29, 2019 · 23 MIN

ELMo

from Data Skeptic · host Kyle Polich with guest Matthew Peters

ELMo (Embeddings from Language Models) introduced the idea of deep contextualized word representations. It extends previous ideas like word2vec and GloVe. The ELMo model is a neural network able to map natural language into a vector space. This vector space, out of box, proved to be incredibly useful in a wide variety of seemingly unrelated NLP tasks like sentiment analysis and name entity recognition.

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ELMo

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This episode is 23 minutes long.

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This episode was published on March 29, 2019.

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ELMo (Embeddings from Language Models) introduced the idea of deep contextualized word representations. It extends previous ideas like word2vec and GloVe. The ELMo model is a neural network able to map natural language into a vector space. This...

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