Natural Language Understanding in a Semantic Web Context, Barriиre Caroline
Автор: Barri?re Название: Natural Language Understanding in a Semantic Web Context ISBN: 331941335X ISBN-13(EAN): 9783319413358 Издательство: Springer Рейтинг: Цена: 7965.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real content of the Semantic Web in a significant and lasting way. The book covers the basics of NLP, with a focus on Natural Language Understanding (NLU), referring to semantic processing, information extraction and knowledge acquisition, which are seen as the key links between the SW and NLP communities. Major emphasis is placed on mining sentences in search of entities and relations. In the course of this “quest', challenges will be encountered for various text analysis tasks, including part-of-speech tagging, parsing, semantic disambiguation, named entity recognition and relation extraction. Standard algorithms associated with these tasks are presented to provide an understanding of the fundamental concepts. Furthermore, the importance of experimental design and result analysis is emphasized, and accordingly, most chapters include small experiments on corpus data with quantitative and qualitative analysis of the results.This book is divided into four parts. Part I “Searching for Entities in Text” is dedicated to the search for entities in textual data. Next, Part II “Working with Corpora” investigates corpora as valuable resources for NLP work. In turn, Part III “Semantic Grounding and Relatedness” focuses on the process of linking surface forms found in text to entities in resources. Finally, Part IV “Knowledge Acquisition” delves into the world of relations and relation extraction. The book also includes three appendices: “A Look into the Semantic Web” gives a brief overview of the Semantic Web and is intended to bring readers less familiar with the Semantic Web up to speed, so that they too can fully benefit from the material of this book. “NLP Tools and Platforms” provides information about NLP platforms and tools, while “Relation Lists” gathers lists of relations under different categories, showing how relations can be varied and serve different purposes. And finally, the book includes a glossary of over 200 terms commonly used in NLP.The book offers a valuable resource for graduate students specializing in SW technologies and professionals looking for new tools to improve the applicability of SW techniques in everyday life – or, in short, everyone looking to learn about NLP in order to expand his or her horizons. It provides a wealth of information for readers new to both fields, helping them understand the underlying principles and the challenges they may encounter.
Описание: This book constitutes the refereed proceedings of the 4th China Conference on Knowledge Graph and Semantic Computing, CCKS 2019, held in Hangzhou, China, in August 2019. The 18 revised full papers presented were carefully reviewed and selected from 140 submissions. The papers cover wide research fields including the knowledge graph, the semantic Web, linked data, NLP, information extraction, knowledge representation and reasoning.
Описание: This book constitutes the refereed proceedings of the Third China Conference on Knowledge Graph and Semantic Computing, CCKS 2018, held in Tianjin, China, in August 2018.The 27 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 101 submissions. The papers cover wide research fields including the knowledge graph, information extraction, knowledge representation and reasoning, linked data.
Описание: This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications.
This book constitutes the joint refereed proceedings of the 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and the 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, held in Kunming, China, in December 2016.
The 48 revised full papers presented together with 41 short papers were carefully reviewed and selected from 216 submissions. The papers cover fundamental research in language computing, multi-lingual access, web mining/text mining, machine learning for NLP, knowledge graph, NLP for social network, as well as applications in language computing.
Автор: Kathleen Dahlgren Название: Naive Semantics for Natural Language Understanding ISBN: 0898382874 ISBN-13(EAN): 9780898382877 Издательство: Springer Рейтинг: Цена: 26546.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces a theory, Naive Semantics (NS), a theory of the knowledge underlying natural language understanding. The theory of NS, in identifying word meanings with commonsense knowledge, sees word meanings as typical descriptions of classes of objects, rather than as criterial descriptions.
Автор: G. Hirst Название: Anaphora in Natural Language Understanding ISBN: 3540108580 ISBN-13(EAN): 9783540108580 Издательство: Springer Рейтинг: Цена: 1396.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more.
The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important.
Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding
Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more
Автор: Yokota, Masao (fukuoka Institute Of Technology, Office B-806, Japan) Название: Natural language understanding and cognitive robotics ISBN: 0367360314 ISBN-13(EAN): 9780367360313 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is aimed at researchers and students interested in artificial intelligence, robotics, or cognitive science. Based on philosophical considerations, this will also have an appeal in linguistics, psychology, ontology, geography, and cartography.
Описание: Natural Language Processing with Flair is a book for NLP developers, data scientists, and machine learning enthusiasts who want to get up to speed with Flair to be able to put their knowledge to work by solving real-life problems. The book features a number of hands-on exercises showing how to create and deploy Flair NLP solutions with ease.
Web development is simpler than it seems, especially with the software tools freely available on the Web. Breaking from the tradition of teaching a history of Web development, this book jumps to the good stuff from the outset so that students can start writing real applications.
This comprehensive Guide to Web Development with Java introduces readers to the three-tiered, Model-View-Controller architecture by using Hibernate, JSPs, and Java Servlets. These three technologies all use Java, so that a student with a background in programming will be able to master them with ease, with the end result of being able to create web applications that use MVC, validate user input and save data to a database.
Topics and features: presents the many topics of web development in small steps, in an accessible, easy-to-follow style - focusing on the most important information first, and allowing the reader to gain basic understanding before moving forwards; uses existing powerful technologies that are freely available on the web to speed up web development, such as JSP, JavaBeans, annotations, JSTL, Java 1.5, Hibernate and Tomcat; discusses HTML, HTML Forms, Cascading Style Sheets and XML; starts with the simplest technology for web development (JSP) and gradually introduces the reader to more complex topics; introduces core technologies from the outset, such as the Model-View-Controller architecture; contains many helpful pedagogical tools for students and lecturers such as questions and exercises at the end of each chapter, detailed illustrations, chapter summaries, and a glossary; includes examples for accessing common web services; provides supplementary examples and tutorials at http: //www.bytesizebook.com/.
Written for novice developers with a solid background in programming, but who do not have any database training, this thorough, easy-to-use textbook/guide provides an exemplary introductory course in web development for undergraduates, as well as web developers. With its straightforward and systematic style this text is also ideal for self-study.
Автор: Carlos Peri??n-Pascual, Eva M. Mestre-Mestre Название: Understanding Meaning and Knowledge Representation ISBN: 1443884618 ISBN-13(EAN): 9781443884617 Издательство: Cambridge Scholars Рейтинг: Цена: 6715.00 р. Наличие на складе: Нет в наличии.
Описание: Today, there is a need to develop natural language processing (NLP) systems from deeper linguistic approaches. Although there are many NLP applications which can work without taking into account any linguistic theory, this type of system can only be described as “deceptively intelligent”. On the other hand, however, those computer programs requiring some language comprehension capability should be grounded in a robust linguistic model if they are to display the expected behaviour. The purpose of this book is to examine and discuss recent work in meaning and knowledge representation within theoretical linguistics and cognitive linguistics, particularly research which can be reused to model NLP applications.
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