Algebraic Semantics of Imperative Programs presents a self-contained and novel "executable" introduction to formal reasoning about imperative programs. The authors' primary goal is to improve programming ability by improving intuition about what programs mean and how they run. T…
1. Introduction -- 1.1. Semantic representation -- 1.2. Vector space models -- 1.3. The evolution path of representations. 2. Background -- 2.1. Natural language processing fundamentals -- 2.2 deep learning for NLP -- 2.3. Knowledge resources. 3. Word embeddings -- 3.1. Count-…
Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the dev…
Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the dev…
Natural language understanding
by Allen, James
fromBenjamin/Cummings series in computer science