Evaluating Natural Language Processing Systems
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Author |
: Karen Sparck Jones |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 256 |
Release |
: 1995 |
ISBN-10 |
: 3540613099 |
ISBN-13 |
: 9783540613091 |
Rating |
: 4/5 (99 Downloads) |
Synopsis Evaluating Natural Language Processing Systems by : Karen Sparck Jones
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 |
ISBN-10 |
: 3662198649 |
ISBN-13 |
: 9783662198643 |
Rating |
: 4/5 (49 Downloads) |
Synopsis Evaluating Natural Language Processing Systems by : Karen Sparck Jones
Author |
: Kevin Bretonnel Cohen |
Publisher |
: John Benjamins Publishing Company |
Total Pages |
: 174 |
Release |
: 2014-02-15 |
ISBN-10 |
: 9789027271068 |
ISBN-13 |
: 9027271062 |
Rating |
: 4/5 (68 Downloads) |
Synopsis Biomedical Natural Language Processing by : Kevin Bretonnel Cohen
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 |
: Pazos-Rangel, Rodolfo Abraham |
Publisher |
: IGI Global |
Total Pages |
: 554 |
Release |
: 2020-10-02 |
ISBN-10 |
: 9781799847311 |
ISBN-13 |
: 1799847314 |
Rating |
: 4/5 (11 Downloads) |
Synopsis Handbook of Research on Natural Language Processing and Smart Service Systems by : Pazos-Rangel, Rodolfo Abraham
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 |
: Sowmya Vajjala |
Publisher |
: O'Reilly Media |
Total Pages |
: 455 |
Release |
: 2020-06-17 |
ISBN-10 |
: 9781492054023 |
ISBN-13 |
: 149205402X |
Rating |
: 4/5 (23 Downloads) |
Synopsis Practical Natural Language Processing by : Sowmya Vajjala
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 |
: David D. McDonald |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 401 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781461238461 |
ISBN-13 |
: 1461238463 |
Rating |
: 4/5 (61 Downloads) |
Synopsis Natural Language Generation Systems by : David D. McDonald
Natural language generation is a field within artificial intelligence which looks ahead to the future when machines will communicate complex thoughts to their human users in a natural way. Generation systems supply the sophisticated knowledge about natural languages that must come into play when one needs to use wordings that will overpower techniques based only on symbolic string manipulation techniques. Topics covered in this volume include discourse theory, mechanical translation, deliberate writing, and revision. Natural Language Generation Systems contains contributions by leading researchers in the field. Chapters contain details of grammatical treatments and processing seldom reported on outside of full length monographs.
Author |
: Nitin Indurkhya |
Publisher |
: CRC Press |
Total Pages |
: 704 |
Release |
: 2010-02-22 |
ISBN-10 |
: 9781420085938 |
ISBN-13 |
: 142008593X |
Rating |
: 4/5 (38 Downloads) |
Synopsis Handbook of Natural Language Processing by : Nitin Indurkhya
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater
Author |
: Rotem Dror |
Publisher |
: Springer Nature |
Total Pages |
: 98 |
Release |
: 2022-06-01 |
ISBN-10 |
: 9783031021749 |
ISBN-13 |
: 3031021746 |
Rating |
: 4/5 (49 Downloads) |
Synopsis Statistical Significance Testing for Natural Language Processing by : Rotem Dror
Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include extensive experimental analysis, and the number of involved tasks, datasets, domains, and languages is constantly growing. This emphasis on empirical results highlights the role of statistical significance testing in NLP research: If we, as a community, rely on empirical evaluation to validate our hypotheses and reveal the correct language processing mechanisms, we better be sure that our results are not coincidental. The goal of this book is to discuss the main aspects of statistical significance testing in NLP. Our guiding assumption throughout the book is that the basic question NLP researchers and engineers deal with is whether or not one algorithm can be considered better than another one. This question drives the field forward as it allows the constant progress of developing better technology for language processing challenges. In practice, researchers and engineers would like to draw the right conclusion from a limited set of experiments, and this conclusion should hold for other experiments with datasets they do not have at their disposal or that they cannot perform due to limited time and resources. The book hence discusses the opportunities and challenges in using statistical significance testing in NLP, from the point of view of experimental comparison between two algorithms. We cover topics such as choosing an appropriate significance test for the major NLP tasks, dealing with the unique aspects of significance testing for non-convex deep neural networks, accounting for a large number of comparisons between two NLP algorithms in a statistically valid manner (multiple hypothesis testing), and, finally, the unique challenges yielded by the nature of the data and practices of the field.
Author |
: Institute of Medicine |
Publisher |
: National Academies Press |
Total Pages |
: 287 |
Release |
: 2015-01-08 |
ISBN-10 |
: 9780309312455 |
ISBN-13 |
: 0309312450 |
Rating |
: 4/5 (55 Downloads) |
Synopsis Capturing Social and Behavioral Domains and Measures in Electronic Health Records by : Institute of Medicine
Determinants of health - like physical activity levels and living conditions - have traditionally been the concern of public health and have not been linked closely to clinical practice. However, if standardized social and behavioral data can be incorporated into patient electronic health records (EHRs), those data can provide crucial information about factors that influence health and the effectiveness of treatment. Such information is useful for diagnosis, treatment choices, policy, health care system design, and innovations to improve health outcomes and reduce health care costs. Capturing Social and Behavioral Domains and Measures in Electronic Health Records: Phase 2 identifies domains and measures that capture the social determinants of health to inform the development of recommendations for the meaningful use of EHRs. This report is the second part of a two-part study. The Phase 1 report identified 17 domains for inclusion in EHRs. This report pinpoints 12 measures related to 11 of the initial domains and considers the implications of incorporating them into all EHRs. This book includes three chapters from the Phase 1 report in addition to the new Phase 2 material. Standardized use of EHRs that include social and behavioral domains could provide better patient care, improve population health, and enable more informative research. The recommendations of Capturing Social and Behavioral Domains and Measures in Electronic Health Records: Phase 2 will provide valuable information on which to base problem identification, clinical diagnoses, patient treatment, outcomes assessment, and population health measurement.
Author |
: |
Publisher |
: |
Total Pages |
: 7 |
Release |
: 1989 |
ISBN-10 |
: OCLC:227910019 |
ISBN-13 |
: |
Rating |
: 4/5 (19 Downloads) |
Synopsis Plans for a Task-Oriented Evaluation of Natural Language Understanding Systems by :
A plan is presented for evaluating natural language processing (NLP) systems that have focused on the issues of text understanding as exemplified in short texts from military messages. The plan includes definition of bodies of text to use as development and test data, namely the narrative lines from one type of naval message, and definition of a simulated database update task that requires NLP systems to fill a template with information found in the texts. Documentation related to the naval messages and examples of filled templates have been prepared to assist NLP system developers. It is anticipated that developers of a number of different NLP systems will participate in the evaluation and will meet afterwards to present and interpret the results and to critique the test design.