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Author: Alice G. B. ter Meulen Publisher: Mit Press ISBN: 9780262200998 Category : Language Arts & Disciplines Languages : en Pages : 144
Book Description
Alice ter Meulen integrates current research in natural language semantics, with detailed analyses of English discourse, and logical tools from a variety of sources into an information theory that provides the foundation for computational systems to reason about change and the flow of time. The topic of temporal meaning in texts has received considerable attention in recent years from scholars in linguistics, logical semantics, cognitive science, and artificial intelligence. Representing Time in Natural Language offers a systematic and detailed account of how we use temporal information contained in a text or in discourse to reason about the flow of time, inferring the order in which events happened when this is not explicitly stated. A new representational toolkit is designed to formalize an appropriately context-dependent notion of situated inference. Dynamic Aspect Trees representing temporal dependencies constitute a novel and important dynamic temporal logic that makes it easy to see what follows when from the information given in an ordinary English text. Ter Meulen makes use of some of the fundamental assumptions of Situation Semantics and incorporates the dynamic methodology embodied in Discourse Representation Theory and in other dynamic logics into her temporal logic. The result is a computational inference system that can be applied across the board to fragments of natural languages.
Author: Alice G. B. ter Meulen Publisher: Mit Press ISBN: 9780262200998 Category : Language Arts & Disciplines Languages : en Pages : 144
Book Description
Alice ter Meulen integrates current research in natural language semantics, with detailed analyses of English discourse, and logical tools from a variety of sources into an information theory that provides the foundation for computational systems to reason about change and the flow of time. The topic of temporal meaning in texts has received considerable attention in recent years from scholars in linguistics, logical semantics, cognitive science, and artificial intelligence. Representing Time in Natural Language offers a systematic and detailed account of how we use temporal information contained in a text or in discourse to reason about the flow of time, inferring the order in which events happened when this is not explicitly stated. A new representational toolkit is designed to formalize an appropriately context-dependent notion of situated inference. Dynamic Aspect Trees representing temporal dependencies constitute a novel and important dynamic temporal logic that makes it easy to see what follows when from the information given in an ordinary English text. Ter Meulen makes use of some of the fundamental assumptions of Situation Semantics and incorporates the dynamic methodology embodied in Discourse Representation Theory and in other dynamic logics into her temporal logic. The result is a computational inference system that can be applied across the board to fragments of natural languages.
Author: Alice G. B. ter Meulen Publisher: MIT Press ISBN: 9780262700665 Category : Language Arts & Disciplines Languages : en Pages : 172
Book Description
The topic of temporal meaning in texts has received considerable attention in recent years from scholars in linguistics, logical semantics, cognitive science, and artificial intelligence. Representing Time in Natural Language offers a systematic and detailed account of how we use temporal information contained in a text or in discourse to reason about the flow of time, inferring the order in which events happened when this is not explicitly stated. A new representational system is designed to formalize an appropriately context-dependent notion of situated inference. The Dynamic Aspect Tree, representing temporal dependencies, constitutes a novel and important dynamic temporal logic, one that makes it easy to see "what follows when" from the information given in an ordinary English text.
Author: Zhiyuan Liu Publisher: Springer Nature ISBN: 9811555737 Category : Computers Languages : en Pages : 319
Book Description
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Author: Sowmya Vajjala Publisher: O'Reilly Media ISBN: 149205402X Category : Computers Languages : en Pages : 455
Book Description
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: Hermann Helbig Publisher: Springer Science & Business Media ISBN: 3540299661 Category : Computers Languages : en Pages : 652
Book Description
Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the pres- vation of cultural achievements and their transmission from one generation to the other. During the last few decades, the ?ood of digitalized information has been growing tremendously. This tendency will continue with the globali- tion of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical und- standing and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this c- text, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the g- eration of natural language expressions from formal representations. This book presents a method for the semantic representation of natural l- guage expressions (texts, sentences, phrases, etc. ) which can be used as a u- versal knowledge representation paradigm in the human sciences, like lingu- tics, cognitive psychology, or philosophy of language, as well as in com- tational linguistics and in arti?cial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.
Author: Hrafn Loftsson Publisher: Springer Science & Business Media ISBN: 3642147690 Category : Computers Languages : en Pages : 443
Book Description
This book constitutes the proceedings of the 7th International Conference on Advances in Natural Language Processing held in Reykjavik, Iceland, in August 2010.
Author: Luna Filipovi? Publisher: John Benjamins Publishing ISBN: 9027273618 Category : Language Arts & Disciplines Languages : en Pages : 510
Book Description
This volume offers novel insights into linguistic diversity in the domains of spatial and temporal reference, searching for uniformity amongst diversity. A number of authors discuss expression of dynamic spatial relations cross-linguistically in a vast range of typologically different languages such as Bezhta, French, Hinuq, Italian, Japanese, Polish, Serbian, and Spanish, among others. The contributions on linguistic expression of time all shed new light on pertinent questions regarding this cognitive domain, such as the hotly debated relationship between cross-linguistic differences in talking about time and universal principles of utterance interpretation, modelling temporal inference through aspectual interactions, as well as the complexity of the acquisition of tense-aspect relations in a second language. The topic of space and time in language and culture is also represented, from a different point of view, in the sister volume Space and Time in Languages and Cultures: Language, culture, and cognition (HCP 37) which discusses spatial and temporal constructs in human language, cognition, and culture in order to come closer to a better understanding of the interaction between shared and individual characteristics of language and culture that shape the way people interact with each other and exchange information about the spatio-temporal constructs that underlie their cognitive, social, and linguistic foundations.
Author: Yunyao Li Publisher: Springer Nature ISBN: 3031018621 Category : Computers Languages : en Pages : 136
Book Description
The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated with publishing, and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap. This book explores two interrelated and important areas of overlap: (1) managing natural language data and (2) developing natural language interfaces to databases. It presents relevant concepts and research questions, state-of-the-art methods, related systems, and research opportunities and challenges covering both areas. Relevant topics discussed on natural language data management include data models, data sources, queries, storage and indexing, and transforming natural language text. Under natural language interfaces, it presents the anatomy of these interfaces to databases, the challenges related to query understanding and query translation, and relevant aspects of user interactions. Each of the challenges is covered in a systematic way: first starting with a quick overview of the topics, followed by a comprehensive view of recent techniques that have been proposed to address the challenge along with illustrative examples. It also reviews some notable systems in details in terms of how they address different challenges and their contributions. Finally, it discusses open challenges and opportunities for natural language management and interfaces. The goal of this book is to provide an introduction to the methods, problems, and solutions that are used in managing natural language data and building natural language interfaces to databases. It serves as a starting point for readers who are interested in pursuing additional work on these exciting topics in both academic and industrial environments.
Author: Alice G. B. ter Meulen
Author: Alice G. B. ter Meulen
Author: Alice G. B. ter Meulen
Author: Zhiyuan Liu
Author: Sowmya Vajjala
Author: Leonard Bolc
Author: Hermann Helbig
Author: Michael Levison
Author: Hrafn Loftsson
Author: Luna Filipovi?
Author: Yunyao Li