Search Results for author: B{\'e}n{\'e}dicte Pierrejean

Found 5 papers, 0 papers with code

Investigating the Stability of Concrete Nouns in Word Embeddings

no code implementations WS 2019 B{\'e}n{\'e}dicte Pierrejean, Ludovic Tanguy

We know that word embeddings trained using neural-based methods (such as word2vec SGNS) are sensitive to stability problems and that across two models trained using the exact same set of parameters, the nearest neighbors of a word are likely to change.

Word Embeddings

Predicting Word Embeddings Variability

no code implementations SEMEVAL 2018 B{\'e}n{\'e}dicte Pierrejean, Ludovic Tanguy

Neural word embeddings models (such as those built with word2vec) are known to have stability problems: when retraining a model with the exact same hyperparameters, words neighborhoods may change.

Word Embeddings

Etude de la reproductibilit\'e des word embeddings : rep\'erage des zones stables et instables dans le lexique (Reproducibility of word embeddings : identifying stable and unstable zones in the semantic space)

no code implementations JEPTALNRECITAL 2018 B{\'e}n{\'e}dicte Pierrejean, Ludovic Tanguy

Les mod{\`e}les vectoriels de s{\'e}mantique distributionnelle (ou word embeddings), notamment ceux produits par les m{\'e}thodes neuronales, posent des questions de reproductibilit{\'e} et donnent des repr{\'e}sentations diff{\'e}rentes {\`a} chaque utilisation, m{\^e}me sans modifier leurs param{\`e}tres.

Word Embeddings

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