BERT

The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)

The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)

The year 2018 has been an inflection point for machine learning models handling text (or more accurately, Natural Language Processing or NLP for short). Our conceptual understanding of how best to represent words and sentences in a way that best captures underlying meanings and relationships is rapidly evolving.
GloVe: Global Vectors for Word Representation

GloVe: Global Vectors for Word Representation

GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space.
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