Evaluating Natural Language Processing Systems PDF Download
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Author | : Karen Sparck Jones |
Publisher | : Springer Science & Business Media |
Total Pages | : 256 |
Release | : 1995 |
Genre | : Computers |
ISBN | : 9783540613091 |
Download Evaluating Natural Language Processing Systems Book in PDF, ePub and Kindle
This book is about the patterns of connections between brain structures. It reviews progress on the analysis of neuroanatomical connection data and presents six different approaches to data analysis. The results of their application to data from cat and monkey cortex are explored. This volume sheds light on the organization of the brain that is specified by its wiring.
Author | : Karen Sparck Jones |
Publisher | : |
Total Pages | : 252 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9783662198643 |
Download Evaluating Natural Language Processing Systems Book in PDF, ePub and Kindle
Author | : Sowmya Vajjala |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 456 |
Release | : 2020-06-17 |
Genre | : Computers |
ISBN | : 1492054003 |
Download Practical Natural Language Processing Book in PDF, ePub and Kindle
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Author | : Pazos-Rangel, Rodolfo Abraham |
Publisher | : IGI Global |
Total Pages | : 554 |
Release | : 2020-10-02 |
Genre | : Computers |
ISBN | : 1799847314 |
Download Handbook of Research on Natural Language Processing and Smart Service Systems Book in PDF, ePub and Kindle
Natural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables software to understand human language and process complex data that is generated within businesses. In a competitive market, leading organizations are showing an increased interest in implementing this technology to improve user experience and establish smarter decision-making methods. Research on the application of intelligent analytics is crucial for professionals and companies who wish to gain an edge on the opposition. The Handbook of Research on Natural Language Processing and Smart Service Systems is a collection of innovative research on the integration and development of intelligent software tools and their various applications within professional environments. While highlighting topics including discourse analysis, information retrieval, and advanced dialog systems, this book is ideally designed for developers, practitioners, researchers, managers, engineers, academicians, business professionals, scholars, policymakers, and students seeking current research on the improvement of competitive practices through the use of NLP and smart service systems.
Author | : Steven Bird |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 506 |
Release | : 2009-06-12 |
Genre | : Computers |
ISBN | : 0596555717 |
Download Natural Language Processing with Python Book in PDF, ePub and Kindle
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Author | : Dan Jurafsky |
Publisher | : Pearson Education India |
Total Pages | : 912 |
Release | : 2000-09 |
Genre | : |
ISBN | : 9788131716724 |
Download Speech & Language Processing Book in PDF, ePub and Kindle
Author | : Alexander Clark |
Publisher | : John Wiley & Sons |
Total Pages | : 802 |
Release | : 2013-04-24 |
Genre | : Language Arts & Disciplines |
ISBN | : 1118448677 |
Download The Handbook of Computational Linguistics and Natural Language Processing Book in PDF, ePub and Kindle
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Author | : Kevin Bretonnel Cohen |
Publisher | : John Benjamins Publishing Company |
Total Pages | : 174 |
Release | : 2014-02-15 |
Genre | : Computers |
ISBN | : 9027271062 |
Download Biomedical Natural Language Processing Book in PDF, ePub and Kindle
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
Author | : Li Deng |
Publisher | : Springer |
Total Pages | : 329 |
Release | : 2018-05-23 |
Genre | : Computers |
ISBN | : 9811052093 |
Download Deep Learning in Natural Language Processing Book in PDF, ePub and Kindle
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
Author | : Ankur A. Patel |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 336 |
Release | : 2021-05-12 |
Genre | : Computers |
ISBN | : 1492062545 |
Download Applied Natural Language Processing in the Enterprise Book in PDF, ePub and Kindle
NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production