Natural Language Processing for Historical Texts
Michael Piotrowski
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Semi-Supervised Learning and Domain Adaptation in Natural Language Processing
Anders Sogaard
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Linguistic Fundamentals for Natural Language Processing : 100 Essentials from Morphology and Syntax
Emily M. Bender
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Recognizing Textual Entailment : Models and Applications
Ido Dagan
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Automated Grammatical Error Detection for Language Learners, Second Edition
Claudia Leacock
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Ontology-Based Interpretation of Natural Language
Philipp Cimiano
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Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition
Hang Li
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Automatic Detection of Verbal Deception
Eileen Fitzpatrick
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Grammatical Inference for Computational Linguistics
Jeffrey Heinz
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Linked Lexical Knowledge Bases : Foundations and Applications
Iryna Gurevych
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The Kaggle Book : Data analysis and machine learning for competitive data science
Konrad Banachewicz
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Modern Generative AI with ChatGPT and OpenAI Models : Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
Valentina Alto
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GPT-3 : The Ultimate Guide To Building NLP Products With OpenAI API
Sandra Kublik
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Deep Learning for Natural Language Processing : Solve your natural language processing problems with smart deep neural networks
Karthiek Reddy Bokka
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PyTorch Artificial Intelligence Fundamentals : A recipe-based approach to design, build and deploy your own AI models with PyTorch 1.x
Jibin Mathew
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Natural Language Processing with TensorFlow : The definitive NLP book to implement the most sought-after machine learning models and tasks
Thushan Ganegedara
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Python Natural Language Processing Cookbook : Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks
Zhenya Antic
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Hands-On Python Natural Language Processing : Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
Aman Kedia
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Hands-On Neural Networks : Learn how to build and train your first neural network model using Python
Leonardo De Marchi
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R Deep Learning Essentials : A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition
Mark Hodnett
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Natural Language Processing with Java : Techniques for building machine learning and neural network models for NLP, 2nd Edition
Richard M. Reese
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Hands-On Recommendation Systems with Python : Start building powerful and personalized, recommendation engines with Python
Rounak Banik
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