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.

Episode metadata supplied by the publisher feed · Published Mar 29, 2019

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ELMo

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