Linguistic Fundamentals for Natural Language Processing II: 100 Essentials from Semantics and Pragmatics Computational Linguistics MIT Press

Clearly, CBOW distributional vectors are not easily human and machine interpretable. In fact, specific dimensions of vectors have not a particular meaning and, differently from what happens for auto-encoders (see section 3.2.1), these networks are not trained to be invertible. • Task-dependent representations learned as the first step of another algorithm (this is called end-to-end […]