Towards universal language embeddings

Language embedding is a process of mapping symbolic natural language text (for example, words, phrases and sentences) to semantic vector representations. This is fundamental to deep learning approaches to natural language understanding (NLU). It is highly desirable to learn language embeddings that are universal to many NLU tasks. Two popular approaches to learning language embeddings … Continue reading Towards universal language embeddings