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Knowledge Needs and Information Extraction

Knowledge Needs and Information Extraction PDF Author: Nicolas Turenne
Publisher: John Wiley & Sons
ISBN: 1118574591
Category : Computers
Languages : en
Pages : 292

Book Description
This book presents a theory of consciousness which is unique and sustainable in nature, based on physiological and cognitive-linguistic principles controlled by a number of socio-psycho-economic factors. In order to anchor this theory, which draws upon various disciplines, the author presents a number of different theories, all of which have been abundantly studied by scientists from both a theoretical and experimental standpoint, including models of social organization, ego theories, theories of the motivational system in psychology, theories of the motivational system in neurosciences, language modeling and computational modeling of motivation. The theory presented in this book is based on the hypothesis that an individual’s main activities are developed by self-motivation, managed as an informational need. This is described in chapters covering self-motivation on a day-to-day basis, the notion of need, the hypothesis and control of cognitive self-motivation and a model of self-motivation which associates language and physiology. The subject of knowledge extraction is also covered, including the impact of self-motivation on written information, non-transversal and transversal text-mining techniques and the fields of interest of text mining. Contents: 1. Consciousness: an Ancient and Current Topic of Study. 2. Self-motivation on a Daily Basis. 3. The Notion of Need. 4. The Models of Social Organization. 5. Self Theories. 6. Theories of Motivation in Psychology. 7. Theories of Motivation in Neurosciences. 8. Language Modeling. 9. Computational Modeling of Motivation. 10. Hypothesis and Control of Cognitive Self-Motivation. 11. A Model of Self-Motivation which Associates Language and Physiology. 12. Impact of Self-Motivation on Written Information. 13. Non-Transversal Text Mining Techniques. 14. Transversal Text Mining Techniques. 15. Fields of Interest for Text Mining. About the Authors Nicolas Turenne is a researcher at INRA in the Science and Society team at the University of Paris-Est Marne la Vallée in France. He specializes in knowledge extraction from texts with theoretical research into relational and stochastic models. His research topics also concern the sociology of uses, food and environmental sciences, and bioinformatics.

Knowledge Needs and Information Extraction

Knowledge Needs and Information Extraction PDF Author: Nicolas Turenne
Publisher: John Wiley & Sons
ISBN: 1118574591
Category : Computers
Languages : en
Pages : 292

Book Description
This book presents a theory of consciousness which is unique and sustainable in nature, based on physiological and cognitive-linguistic principles controlled by a number of socio-psycho-economic factors. In order to anchor this theory, which draws upon various disciplines, the author presents a number of different theories, all of which have been abundantly studied by scientists from both a theoretical and experimental standpoint, including models of social organization, ego theories, theories of the motivational system in psychology, theories of the motivational system in neurosciences, language modeling and computational modeling of motivation. The theory presented in this book is based on the hypothesis that an individual’s main activities are developed by self-motivation, managed as an informational need. This is described in chapters covering self-motivation on a day-to-day basis, the notion of need, the hypothesis and control of cognitive self-motivation and a model of self-motivation which associates language and physiology. The subject of knowledge extraction is also covered, including the impact of self-motivation on written information, non-transversal and transversal text-mining techniques and the fields of interest of text mining. Contents: 1. Consciousness: an Ancient and Current Topic of Study. 2. Self-motivation on a Daily Basis. 3. The Notion of Need. 4. The Models of Social Organization. 5. Self Theories. 6. Theories of Motivation in Psychology. 7. Theories of Motivation in Neurosciences. 8. Language Modeling. 9. Computational Modeling of Motivation. 10. Hypothesis and Control of Cognitive Self-Motivation. 11. A Model of Self-Motivation which Associates Language and Physiology. 12. Impact of Self-Motivation on Written Information. 13. Non-Transversal Text Mining Techniques. 14. Transversal Text Mining Techniques. 15. Fields of Interest for Text Mining. About the Authors Nicolas Turenne is a researcher at INRA in the Science and Society team at the University of Paris-Est Marne la Vallée in France. He specializes in knowledge extraction from texts with theoretical research into relational and stochastic models. His research topics also concern the sociology of uses, food and environmental sciences, and bioinformatics.

Towards Integrative Machine Learning and Knowledge Extraction

Towards Integrative Machine Learning and Knowledge Extraction PDF Author: Andreas Holzinger
Publisher: Springer
ISBN: 3319697757
Category : Computers
Languages : en
Pages : 220

Book Description
The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.

SAS Text Analytics for Business Applications

SAS Text Analytics for Business Applications PDF Author: Teresa Jade
Publisher: SAS Institute
ISBN: 1635266610
Category : Computers
Languages : en
Pages : 275

Book Description
Extract actionable insights from text and unstructured data. Information extraction is the task of automatically extracting structured information from unstructured or semi-structured text. SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models focuses on this key element of natural language processing (NLP) and provides real-world guidance on the effective application of text analytics. Using scenarios and data based on business cases across many different domains and industries, the book includes many helpful tips and best practices from SAS text analytics experts to ensure fast, valuable insight from your textual data. Written for a broad audience of beginning, intermediate, and advanced users of SAS text analytics products, including SAS Visual Text Analytics, SAS Contextual Analysis, and SAS Enterprise Content Categorization, this book provides a solid technical reference. You will learn the SAS information extraction toolkit, broaden your knowledge of rule-based methods, and answer new business questions. As your practical experience grows, this book will serve as a reference to deepen your expertise.

Information Extraction: Algorithms and Prospects in a Retrieval Context

Information Extraction: Algorithms and Prospects in a Retrieval Context PDF Author: Marie-Francine Moens
Publisher: Springer Science & Business Media
ISBN: 1402049935
Category : Language Arts & Disciplines
Languages : en
Pages : 255

Book Description
This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.

Ethical Efficiency

Ethical Efficiency PDF Author: Virgil Cristian Lenoir
Publisher: John Wiley & Sons
ISBN: 1119268591
Category : Business & Economics
Languages : en
Pages : 169

Book Description
Practical and conceptual, the Responsible Research and Innovation set of books contributes to the clarification of this new requirement for all sciences and technological innovation. It covers the multiple and international responsibilities, by using various philosophical resources, mostly discussing the following topics: ethics, contingency, normative economy, freedom, corporate social responsibility (CSR), participative technological evaluation, sustainable development, geoengineering, the precautionary principle, standards, interdisciplinarity, and climate management. The ethics of efficiency must be considered with regard to the logic of action or to economic, political, legal or scientific systems. This book presents a question on the central theme of responsible research and innovation (RRI), which has an ethical influence on effective logics. The issue is to question the opportunity and modularities of an ethical effective influence on the logics of efficiency of research and innovation. From the distinction of efficiency and effectiveness, lies the problem of efficacy, the ethical accord between the two. Thus appears the possibility of taking effective responsibility with respect to systematic injustices potentially linked to this efficiency. This book proposes categories to understand the ethical implications of research and innovation processes, under the aspect of their efficacy.

Formalizing Natural Languages

Formalizing Natural Languages PDF Author: Max Silberztein
Publisher: John Wiley & Sons
ISBN: 1119264146
Category : Language Arts & Disciplines
Languages : en
Pages : 346

Book Description
This book is at the very heart of linguistics. It provides the theoretical and methodological framework needed to create a successful linguistic project. Potential applications of descriptive linguistics include spell-checkers, intelligent search engines, information extractors and annotators, automatic summary producers, automatic translators, and more. These applications have considerable economic potential, and it is therefore important for linguists to make use of these technologies and to be able to contribute to them. The author provides linguists with tools to help them formalize natural languages and aid in the building of software able to automatically process texts written in natural language (Natural Language Processing, or NLP). Computers are a vital tool for this, as characterizing a phenomenon using mathematical rules leads to its formalization. NooJ – a linguistic development environment software developed by the author – is described and practically applied to examples of NLP.

Named Entities for Computational Linguistics

Named Entities for Computational Linguistics PDF Author: Damien Nouvel
Publisher: John Wiley & Sons
ISBN: 1848218389
Category : Technology & Engineering
Languages : en
Pages : 195

Book Description
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.

Natural Language Processing and Computational Linguistics 2

Natural Language Processing and Computational Linguistics 2 PDF Author: Mohamed Zakaria Kurdi
Publisher: John Wiley & Sons
ISBN: 1119419719
Category : Technology & Engineering
Languages : en
Pages : 267

Book Description
Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology. This book presents in four chapters the state of the art and fundamental concepts of key NLP areas. Are presented in the first chapter the fundamental concepts in lexical semantics, lexical databases, knowledge representation paradigms, and ontologies. The second chapter is about combinatorial and formal semantics. Discourse and text representation as well as automatic discourse segmentation and interpretation, and anaphora resolution are the subject of the third chapter. Finally, in the fourth chapter, I will cover some aspects of large scale applications of NLP such as software architecture and their relations to cognitive models of NLP as well as the evaluation paradigms of NLP software. Furthermore, I will present in this chapter the main NLP applications such as Machine Translation (MT), Information Retrieval (IR), as well as Big Data and Information Extraction such as event extraction, sentiment analysis and opinion mining.

The Tool Instinct

The Tool Instinct PDF Author: François Osiurak
Publisher: John Wiley & Sons
ISBN: 1786304716
Category : Psychology
Languages : en
Pages : 232

Book Description
Humans use countless tools and are constantly creating new ones. We are so prone to materiality that the changes we implement in our environment could put our very survival at stake. It has therefore become necessary to question the cognitive origins of this materiality. The Tool Instinct examines this subject by diametrically setting aside the idea that tool use is limited to manual activity. It proposes an original perspective that surpasses a great number of false beliefs regarding the relationship between humans and tools. The author argues that the human tendency to create and use tools relies on our ability (one that may be unique to our species) to generate our own physical problems, thereby resulting in a reasoning that is directed towards our physical world.

Machine Intelligence and Data Science Applications

Machine Intelligence and Data Science Applications PDF Author: Vaclav Skala
Publisher: Springer Nature
ISBN: 9811923477
Category : Technology & Engineering
Languages : en
Pages : 909

Book Description
This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.