Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach

Oleksandr Palagin, Vitalii Velychko, Kyrylo Malakhov +1

We design a new technique for the distributional semantic modeling with a neural network-based approach to learn distributed term representations (or term embeddings) - term vector…