Semanlink - Enseignement supérieur ; NLP Teams AND Distributional semantics

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Chris Manning - Contextualized word representations - Contrastive Self-Supervised Learning - Distributional semantics - Embeddings - Fun fact - GloVe - Good - Meaning in NLP - NLP@Stanford - Richard Socher - Sanjeev Arora - Sebastian Ruder - Tweet - Word2vec - Word embeddings -

Enseignement supérieur ; NLP Teams AND Distributional semantics

Common descendants

GloVe

9 Documents

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 About

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 About

Lecture 14 – Contextual Vectors | Stanford CS224U: Natural Language Understanding | Spring 2019

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2020-01-05 About

Contrastive Unsupervised Learning of Semantic Representations: A Theoretical Framework – Off the convex path (2019-03)

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2019-03-20 About

An overview of word embeddings and their connection to distributional semantic models - AYLIEN (2016)

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2017-07-20 About

Stanford Topic Modeling Toolbox

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2017-05-23 About

Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors (2014)

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2017-05-18 About

How is GloVe different from word2vec? - Quora

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2017-05-18 About

GloVe: Global Vectors for Word Representation

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2017-05-18 About