Тезаурустар

We propose a method for compiling bi- lingual terminologies of multi-word terms (MWTs) for given translation pairs of seed terms. Traditional methods for bi- lingual terminology compilation exploit parallel texts, …...

This paper proposes a novel approach to train word embeddings to capture antonyms. Word embeddings have shown to capture synonyms and analogies. Such word embeddings, how- ever, cannot capture antonyms …...

AbstractIn distributional semantics words are represented by aggregated context features. The similarity of words can be computed by comparing their feature vectors. Thus, we can predict whether two words are …...