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 Semantics has become a popular tool among programming language researchers for specifying many aspects of programming languages. However, due to the lack of practical tools for implementation, the natural semantics formalism has so far largely been limited to theoretical…
This book introduces the rational meta-language RML as a practical language for natural semantics specifications. The main part of the work is devoted to the problem of compiling natural semantics, actually RML, to highly efficient code. For this purpose, an effective compilatio…
Natural Semantics has become a popular tool among programming language researchers for specifying many aspects of programming languages. However, due to the lack of practical tools for implementation, the natural semantics formalism has so far largely been limited to theoretical…
Android is the fastest growing operating system (OS) with one of the largest installed bases of any mobile OS. Android uses one of the most popular programming languages, Java, as the primary language for building apps of all types. So you should first obtain a solid grasp of th…
