Natural language processing (Computer science)
Overview
| Works: | 28 works in 28 publications in 28 languages | |
|---|---|---|
Titles
Natural language processing and computational linguistics. 1. Speech, morpholoogy, syntax
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Embeddings in natural language processing : theory and advances in vector representations of meaning
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Advanced natural language processing with TensorFlow 2 : build effective real-world NLP applications using NER, RNNS, seq2seq models, transformers, and more
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Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT
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Python natural language processing cookbook : over 50 recipes to understand, analyze, and generate text for implementing language processing tasks
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Natural language processing with Python and spaCy : a practical introduction
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Linguistic linked data : representation, generation and applications
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Natural language processing with PyTorch : build intelligent language applications using deep learning
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Text analytics : an introduction to the science and applications of unstructured information analysis
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Natural language processing with transformers : building language applications with Hugging Face
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Artificial intelligence and large language models : an introduction to the technological future
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Learn Python Generative AI : journey from autoencoders to transformers to large language models
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Mastering large language models with python : unleash the power of advanced natural language processing for enterprise innovation and efficiency using large language models (llms) with python
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Mastering large language models : advanced techniques, applications, cutting-edge methods, and top LLMs
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Mastering Transformers : the journey from BERT to large language models and stable diffusion
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Natural language understanding with Python : combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Quick start guide to large language models : strategies and best practices for using ChatGPT and other LLMs
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Understanding large language models : learning their underlying concepts and technologies
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