Natural language understanding
by Allen, James
fromBenjamin/Cummings series in computer science
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Type: Book
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"As the first monograph in the field, this state-of-the-art survey provides a rigorous presentation of logic programs as representational and reasoning tools. The authors used this book successfully as a text for a MSc course. The use of logic programming for various types of re…
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…
