Natural Language Processing in Artificial Intelligence—NLPinAI 2020 PDF Download

Author: Roussanka Loukanova
Publisher: Springer Nature
ISBN: 3030637875
Category : Technology & Engineering
Languages : en
Pages : 250

View

Book Description
This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways). Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to ambiguities and dependency on context and agents (humans or computational systems). The goal is to promote computational systems of intelligent natural language processing and related models of computation, language, thought, mental states, reasoning, and other cognitive processes.

Author: Roussanka Loukanova
Publisher: Springer Nature
ISBN: 3030901386
Category : Technology & Engineering
Languages : en
Pages : 126

View

Book Description
The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications. Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing, along with models of computation, language, reasoning, and other cognitive processes.

Author: Michael Richter
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110788276
Category : Language Arts & Disciplines
Languages : en
Pages : 203

View

Book Description
Have you ever wondered how the principles behind Shannon's groundbreaking Information Theory can be interwoven with the intricate fabric of linguistic communication? This book takes you on a fascinating journey, offering insights into how humans process and comprehend language. By applying Information Theory to the realm of natural language semantics, it unravels the connection between regularities in linguistic messages and the cognitive intricacies of language processing. Highlighting the intersections of information theory with linguistics, philosophy, cognitive psychology, and computer science, this book serves as an inspiration for anyone seeking to understand the predictive capabilities of Information Theory in modeling human communication. It elaborates on the seminal works from giants in the field like Dretske, Hale, and Zipf, exploring concepts like surprisal theory and the principle of least effort. With its empirical approach, this book not only discusses the theoretical aspects but also ventures into the application of Shannon's Information Theory in real-world language scenarios, strengthened by advanced statistical methods and machine learning. It touches upon challenging areas such as the distinction between mathematical and semantic information, the concept of information in linguistic utterances, and the intricate play between truth, context, and meaning. Whether you are a linguist, a cognitive psychologist, a philosopher, or simply an enthusiast eager to dive deep into the world where language meets information, this book promises a thought-provoking journey.

Author: Anna Pompei
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110747995
Category : Language Arts & Disciplines
Languages : en
Pages : 378

View

Book Description
The notion of light verb constructions has been traditionally related to the ‘insignificance’ of the verb, which is described as a grammatical item only codifying TAM system and φ-features, whereas the whole predicative content is thought to be conveyed by the noun. This book deals with the light verb constructions as instances of complex verbs, intended as multi-predicational but monoclausal structures. This allows to deepen the actual verb lightness, the effective noun predicativity, as well as their effect on the cohesion of the construction. The papers in this volume reflect on the concrete contribution of noun and verb to the event and argument structure, and on the relevance of semantically different noun classes for the verb selection. From different theoretical approaches, data of a great variety of languages are investigated, such as Indo-European languages – both modern (Germanic, Slavic, Romance and Iranian languages) and ancient (Latin and Ancient Greek) – but also Mandarin Chinese, and different polysynthetic languages (e.g. Ket, Nivkh, Murrinh-Patha, Kiowa, Bininj Gun-wok, Ainu). The range of topics, languages and perspectives presented in this book make it of great interest to both theoretical and applied linguists.

Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031104641
Category : Technology & Engineering
Languages : en
Pages : 941

View

Book Description
The book, “Intelligent Computing - Proceedings of the 2022 Computing Conference”, is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2022 held on July 14–15, 2022. Computing 2022 attracted a total of 498 submissions which underwent a double-blind peer-review process. Of those 498 submissions, 179 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.

Author: Robin Lemke
Publisher: Language Science Press
ISBN: 3961104816
Category : Language Arts & Disciplines
Languages : en
Pages : 248

View

Book Description
This volume results from the workshop "Discourse obligates – How and why discourse limits the way we express what we express" at the 44th Annual Meeting of the German Linguistic Society in Tübingen, Germany. The workshop brought - and this book brings - together information-structural and information-theoretic perspectives on optional variation between linguistic encodings. Previously, linguistic phenomena like linearization, the choice between syntactic constructions or the distribution of ellipsis have been investigated from an information-structural or information-theoretic perspective, but the relationship between these approaches remains underexplored. The goal of this book is to look more in detail into how information structure and information theory contribute to explaining linguistic variation, to what extent they explain different encoding choices and whether they interact in doing so. Using experimental and corpus-based methods, the contributions investigate this on different languages, historical stages and levels of linguistic analysis.

Author: Raymond S. T. Lee
Publisher: Springer Nature
ISBN: 9819919991
Category : Computers
Languages : en
Pages : 454

View

Book Description
This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools like NLTK, spaCy, TensorFlow Kera, Transformer and BERT. The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops.

Author: Miloš Kosterec
Publisher: BRILL
ISBN: 9004703349
Category : Philosophy
Languages : en
Pages : 268

View

Book Description
The book presents Transparent Intensional Logic in several of its latest realisations in such a way that it makes a case for the system and demonstrates how the theory can be applied to a wide range of cases. The work strikes a good balance between the philosophical-conceptual and the logical-formal. Transparent Logics prioritises depth over breadth and focuses on advanced formal semantics and philosophical logic, going beyond a mere introduction to the subject, but delving into the details instead.

Author: Karthiek Reddy Bokka
Publisher: Packt Publishing Ltd
ISBN: 1838553673
Category : Computers
Languages : en
Pages : 372

View

Book Description
Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key FeaturesGain insights into the basic building blocks of natural language processingLearn how to select the best deep neural network to solve your NLP problemsExplore convolutional and recurrent neural networks and long short-term memory networksBook Description Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts off by highlighting the basic building blocks of the natural language processing domain. The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you’ll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In the later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search. By the end of this book, you will not only have sound knowledge of natural language processing but also be able to select the best text pre-processing and neural network models to solve a number of NLP issues. What you will learnUnderstand various pre-processing techniques for deep learning problemsBuild a vector representation of text using word2vec and GloVeCreate a named entity recognizer and parts-of-speech tagger with Apache OpenNLPBuild a machine translation model in KerasDevelop a text generation application using LSTMBuild a trigger word detection application using an attention modelWho this book is for If you’re an aspiring data scientist looking for an introduction to deep learning in the NLP domain, this is just the book for you. Strong working knowledge of Python, linear algebra, and machine learning is a must.

Author: M. Tropmann-Frick
Publisher: IOS Press
ISBN: 1643683713
Category : Computers
Languages : en
Pages : 292

View

Book Description
The amount and complexity of information is continually growing, and information modeling and knowledge bases have become important contributors to technology and to academic and industrial research in the 21st century. They address the complexities of modeling in digital transformation and digital innovation, reaching beyond the traditional borders of information systems and academic computer-science research. This book presents the proceedings of EJC 2022, the 32nd International conference on Information Modeling and Knowledge Bases, held as a hybrid event due to restrictions related to the Corona virus pandemic in Hamburg, Germany, from 30 May to 3 June 2022. The aim of the conference is to bring together experts from different areas of computer science and other disciplines with a common interest in understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference has always been open to new topics related to its main themes, and the content emphasis of the conferences have changed through the years according to developments in the research field, so philosophy and logic, cognitive science, knowledge management, linguistics, and management science, as well as machine learning and AI, are also relevant areas. This book presents 19 reviewed and selected papers covering a wide range of topics, upgraded as a result of comments and discussions during the conference. Providing a current overview of recent developments, the book will be of interest to all those using information modeling and knowledge bases as part of their work.