NLP@Stanford AND Distributional semantics
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I.A.B sur Twitter : "When we "know the meaning" of a word, what is it that we know? For example, what does knowing the words "dolphin" and "tiger" entail?..."
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2022-04-15 A propos
Pablo Castro sur Twitter : "Random finding of the day for word embeddings: vec("apple")-vec("apples") yields a vector close to ipad, ipod, etc. (apples removes the "fruitness" from apple)
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2020-12-18 A propos
Lecture 14 – Contextual Vectors | Stanford CS224U: Natural Language Understanding | Spring 2019
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2020-01-05 A propos
An overview of word embeddings and their connection to distributional semantic models - AYLIEN (2016)
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2017-07-20 A propos
Stanford Topic Modeling Toolbox
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2017-05-23 A propos
Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors (2014)
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2017-05-18 A propos
How is GloVe different from word2vec? - Quora
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2017-05-18 A propos
GloVe: Global Vectors for Word Representation
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2017-05-18 A propos