Тензор

. Models of word meaning, built from a corpus of text, have demonstrated success in emulating human performance on a number of cognitive tasks. Many of these models use geometric …...

We present Multi-Relational Latent Seman- tic Analysis (MRLSA) which generalizes La- tent Semantic Analysis (LSA). MRLSA pro- vides an elegant approach to combining mul- tiple relations between words by construct- …...

AbstractAccording to the distributional inclusion hypothesis, entailment between words can be measured via the feature inclusions of their distributional vectors. In recent work, we showed how this hypothesis can be …...

Modern NLP models rely heavily on engi- neered features, which often combine word and contextual information into complex lexi- cal features. Such combination results in large numbers of features, which …...