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How can computers distinguish the coherent from the unintelligible, recognize new information in a sentence, or draw inferences from a natural language passage?
Representation Learning for Natural Language Processing
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This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing
Embeddings in Natural Language Processing
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Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional ve
Natural Language Processing and Knowledge Representation
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"Traditionally, knowledge representation and reasoning systems have incorporated natural language as interfaces to expert systems or knowledge bases that perfor
Neural Network Methods for Natural Language Processing
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Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The fi