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This representation can be used for tasks, such as those related to artificial intelligence or machine learning. Semantic decomposition is common in natural language processing applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. The Natural …

Elements of Semantic Analysis in NLP Read More »

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 …

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