Near-lossless Binarization of Word Embeddings

Once a corpus is represented by its semantic distribution (which is in a vector space), all kinds of similarity measures can be applied.. This again leads to other NLP applications

The SimVerb-3500 dataset has been used as a benchmark to verify the presence of a statistical correlation between the semantic similarity derived by human judgments and those

The overall goal is to show that existing method- ologies can help in standardizing language in the specific case of reports on near misses on Seveso industries and we aim to

Word embeddings intervene in a wide range of natural language processing tasks. These geometrical representations are easy to manipulate for automatic systems. Therefore, they

We found that neighbors of concrete nouns had an average concreteness score of 4.6 and nearest neighbors of abstract nouns had an average concreteness score of 2.37 meaning

To measure the variation for a word between two embedding models, we used an approach simi- lar to Sahlgren ( 2006 ) by measuring the nearest neighbors overlap for words common to

Whilst the animal bone assemblages from central and north and north-west Europe demonstrate a high degree of similarity, particularly in the predominance of domestic cattle,

[HPR94] Nicolas Halbwachs, Yann-Éric Proy, and Pascal Raymond. “Verification of Linear Hybrid Sys- tems by Means of Convex Approximations”. by Baudouin Le Charlier. Lecture Notes