Vector-Based Models

Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this pa- per we present a novel approach for con- structing semantic spaces that takes …...

AbstractDetermining semantic textual similarity is a core research subject in natural language processing. Since vector-based models for sentence representation often use shallow information, capturing accurate semantics is difficult. By contrast, …...