Описание: This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016.
Автор: Damien Nouvel, Maud Ehrmann, Sophie Rosset Название: Named Entities for Computational Linguistics ISBN: 1848218389 ISBN-13(EAN): 9781848218383 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents.
The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale.
The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.
Автор: Hausser, Roland R. Название: Computational Linguistics and Talking Robots ISBN: 3642224318 ISBN-13(EAN): 9783642224317 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The practical task of building a talking robot requires a theory of how natural language communication works. Conversely, the best way to computationally verify a theory of natural language communication is to demonstrate its functioning concretely in the form of a talking robot, the epitome of human–machine communication. To build an actual robot requires hardware that provides appropriate recognition and action interfaces, and because such hardware is hard to develop the approach in this book is theoretical: the author presents an artificial cognitive agent with language as a software system called database semantics (DBS). Because a theoretical approach does not have to deal with the technical difficulties of hardware engineering there is no reason to simplify the system – instead the software components of DBS aim at completeness of function and of data coverage in word form recognition, syntactic–semantic interpretation and inferencing, leaving the procedural implementation of elementary concepts for later. In this book the author first examines the universals of natural language and explains the Database Semantics approach. Then in Part I he examines the following natural language communication issues: using external surfaces; the cycle of natural language communication; memory structure; autonomous control; and learning. In Part II he analyzes the coding of content according to the aspects: semantic relations of structure; simultaneous amalgamation of content; graph-theoretical considerations; computing perspective in dialogue; and computing perspective in text. The book ends with a concluding chapter, a bibliography and an index. The book will be of value to researchers, graduate students and engineers in the areas of artificial intelligence and robotics, in particular those who deal with natural language processing.
Описание: The Handbook provides a comprehensive overview of the concepts, methodologies, and applications being undertaken today in computational linguistics and natural language processing.
Edited under the auspices of the Association of Logic, Language and
Information (FoLLI), this book constitutes the refereed proceedings of
the 20th anniversary of the International Conference on Logical
Aspects of Computational Linguistics, LACL 2016, held in LORIA Nancy,
France, in December 2016. The 19 contributed papers, presented
together with 4 invited papers and 6 abstracts, were carefully
reviewed and selected from 38 submissions. The focus of the conference
is the use of type theoretic, proof theoretic, and model theoretic
methods for describing and formalising natural language syntax,
semantics, and pragmatics as well as the implementation of the
corresponding tools.
Автор: Sargur N. Srihari; Katrin Franke Название: Computational Forensics ISBN: 3540853022 ISBN-13(EAN): 9783540853022 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the Second International Workshop, IWCF 2008, held in Washington, DC, USA, August 7-8, 2008. This title includes papers that are organized in topical sections on trends and challenges; scanner, printer, and prints; human identification; shoeprints; linguistics;decision making and search; and speech analysis.
Описание: The Handbook provides a comprehensive overview of the concepts, methodologies, and applications being undertaken today in computational linguistics and natural language processing.
Автор: Edited by Patrick Saint-Dizier Название: Computational Lexical Semantics ISBN: 0521023203 ISBN-13(EAN): 9780521023207 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerized lexicons.
Автор: Gogate & Hollich Название: Theoretical And Computational Models Of Word Learning ISBN: 1466629738 ISBN-13(EAN): 9781466629738 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. <br><br><em>Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence</em> strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.
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