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Language, Text, and Knowledge by Lita Lundquist,Robert J. Jarvella Pdf
The series serves to propagate investigations into language usage, especially with respect to computational support. This includes all forms of text handling activity, not only interlingual translations, but also conversions carried out in response to different communicative tasks. Among the major topics are problems of text transfer and the interplay between human and machine activities.
Text Knowledge and Object Knowledge by Annely Rothkegel Pdf
Rothkegel argues that text production is the result of interaction between text knowledge and object knowledge – the conventional ordering and presentation of knowledge for communicative purposes and the conceptual organisation of world knowledge.
Question Answering over Text and Knowledge Base by Saeedeh Momtazi,Zahra Abbasiantaeb Pdf
This book provides a coherent and complete overview of various Question Answering (QA) systems. It covers three main categories based on the source of the data that can be unstructured text (TextQA), structured knowledge graphs (KBQA), and the combination of both. Developing a QA system usually requires using a combination of various important techniques, including natural language processing, information retrieval and extraction, knowledge graph processing, and machine learning. After a general introduction and an overview of the book in Chapter 1, the history of QA systems and the architecture of different QA approaches are explained in Chapter 2. It starts with early close domain QA systems and reviews different generations of QA up to state-of-the-art hybrid models. Next, Chapter 3 is devoted to explaining the datasets and the metrics used for evaluating TextQA and KBQA. Chapter 4 introduces the neural and deep learning models used in QA systems. This chapter includes the required knowledge of deep learning and neural text representation models for comprehending the QA models over text and QA models over knowledge base explained in Chapters 5 and 6, respectively. In some of the KBQA models the textual data is also used as another source besides the knowledge base; these hybrid models are studied in Chapter 7. In Chapter 8, a detailed explanation of some well-known real applications of the QA systems is provided. Eventually, open issues and future work on QA are discussed in Chapter 9. This book delivers a comprehensive overview on QA over text, QA over knowledge base, and hybrid QA systems which can be used by researchers starting in this field. It will help its readers to follow the state-of-the-art research in the area by providing essential and basic knowledge.
Ontology Learning and Population: Bridging the Gap Between Text and Knowledge by P. Buitelaar,P. Cimiano Pdf
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee agree on which concepts cover the domain, on which terms describe which concepts, on what relations exist between each concept and what the possible attributes of each concept are. All ontology learning systems begin with an ontology structure, which may just be an empty logical structure, and a collection of texts in the domain to be modeled. An ontology learning system can be seen as an interplay between three things: an existing ontology, a collection of texts, and lexical syntactic patterns. The Semantic Web will only be a reality if we can create structured, unambiguous ontologies that model domain knowledge that computers can handle. The creation of vast arrays of such ontologies, to be used to mark-up web pages for the Semantic Web, can only be accomplished by computer tools that can extract and build large parts of these ontologies automatically. This book provides the state-of-art of many automatic extraction and modeling techniques for ontology building. The maturation of these techniques will lead to the creation of the Semantic Web.
Language, Translation and Management Knowledge by Susanne Tietze Pdf
The book provides insights, description and analysis over the knowledge production process within business, organization, and management research. Importantly, it does so from a language and translation perspective. It critically engages with the role of English in this process and provides theoretical argument for the need to include multilingualism in research. Translation is investigated as a concept for future inquiry. The book is expressive and formative of language-based research that is gaining momentum in business, management, and organization research. It offers conceptual innovation through a thorough treatment of multilingualism and translation, having the potentiality to guide future empirical and theoretical research, and to dispel hidden hegemonic knowledge production practices. The readers will gain insights into the current status quo of language-based inquiry, discussions of multilingualism for research design and be informed about the philosophical underpinnings of language-based research. Specifically, the benefits include the review and summary of key publications in this field, discussion and analysis of hidden assumptions of knowledge production, a critical take on knowledge production, an outline and discussion of implications of multilingual research for research design and methods, discussion of philosophical underpinnings and a vision for future research. The book is an invaluable source for all research students whose projects contain elements of multilingual research, whether empirical or theoretical. Likewise, the growing body of researchers who take a language-sensitive approach to their research may find it as a source that ‘pulls together’ the current knowledge status quo while offering discussions of future trajectories. The book is extremely useful for the teaching of research methods in undergraduate, postgraduate and also Master’s or doctoral programmes as many students are not native English speakers and are directly confronted with the subject matter of the book.
Legal Knowledge Representation:Automatic Text Analysis in Public International and European Law by Erich Schweighofer Pdf
This volume is a presentation of all methods of legal knowledge representation from the point of view of jurisprudence as well as computer science. A new method of automatic analysis of legal texts is presented in four case studies. Law is seen as an information system with legally formalised information processes. The achieved coverage of legal knowledge in information retrieval systems has to be followed by the next step: conceptual indexing and automatic analysis of texts. Existing approaches of automatic knowledge representations do not have a proper link to the legal language in information systems. The concept-based model for semi-automatic analysis of legal texts provides this necessary connection. The knowledge base of descriptors, context-sensitive rules and meta-rules formalises properly all important passages in the text corpora for automatic analysis. Statistics and self-organising maps give assistance in knowledge acquisition. The result of the analysis is organised with automatically generated hypertext links. Four case studies show the huge potential but also some drawbacks of this approach.
Language, Knowledge and Pedagogy by Frances Christie,J. R. Martin Pdf
An in-depth exploration of the nature of language, knowledge and pedagogy, providing a progressive analysis of knowledge structures at work in educations institutions.
Text Mining and its Applications to Intelligence, CRM and Knowledge Management by A. Zanasi Pdf
Organizations generate and collect large volumes of textual data. Unfortunately, many companies are unable to capitalize fully on the value of this data because information implicit within it is not easy to discern. Primarily intended for business analysts and statisticians across multiple industries, this book provides an introduction to the types of problems encountered and current available text mining solutions.
Lexical Semantics and Knowledge Representation in Multilingual Text Generation by Manfred Stede Pdf
In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance. Lexical Semantics and Knowledge Representation in Multilingual Text Generation presents a new approach to systematically linking the realms of lexical semantics and knowledge represented in a description logic. For language generation from such abstract representations, lexicalization is taken as the central step: when choosing words that cover the various parts of the content representation, the principal decisions on conveying the intended meaning are made. A preference mechanism is used to construct the utterance that is best tailored to parameters representing the context. Lexical Semantics and Knowledge Representation in Multilingual Text Generation develops the means for systematically deriving a set of paraphrases from the same underlying representation with the emphasis on events and verb meaning. Furthermore, the same mapping mechanism is used to achieve multilingual generation: English and German output are produced in parallel, on the basis of an adequate division between language-neutral and language-specific (lexical and grammatical) knowledge. Lexical Semantics and Knowledge Representation in Multilingual Text Generation provides detailed insights into designing the representations and organizing the generation process. Readers with a background in artificial intelligence, cognitive science, knowledge representation, linguistics, or natural language processing will find a model of language production that can be adapted to a variety of purposes.
Translation of Thought to Written Text While Composing by Michel Fayol,M. Denis Alamargot,Virginia Berninger Pdf
Translation of cognitive representations into written language is one of the most important processes in writing. This volume provides a long-awaited updated overview of the field. The contributors discuss each of the commonly used research methods for studying translation; theorize about the nature of the cognitive and language representations and cognitive/linguistic transformation mechanisms involved in translation during writing; and make the case that translation is a higher-order executive function that is fundamental to the writing process. The book also reviews the application of research to practice -- that is, the translation of the research findings in education and the work-world for individuals who interact with others using written language to communicate ideas. This volume provides a rich resource for student, theorists, and empirical researchers in cognitive psychology, linguistics, and education; and teachers and clinicians who can use the research in their work.
Language Knowledge for Primary Teachers by Angela Wilson,Julie Scanlon Pdf
Teaching children to develop as language users is one of the most important tasks of a primary school teacher. However, many trainee teachers begin their careers with a low knowledge base. Language Knowledge for Primary Teachers is the reader friendly guide designed to address this. This book provides a clear explanation of the knowledge and understanding required by teachers to implement the objectives of the National Curriculum for English. It reveals how an explicit knowledge of language can enrich their own and their children’s spoken English. It will give teachers confidence in developing children’s enjoyment and comprehension of reading and writing so children can use their language skills in the real world. Updated to include references to the new curriculum, this book explores: The importance of subject knowledge in supporting children in language and literacy; Language knowledge within the context of authentic and meaningful texts, from fiction to ‘Facebook’; The links between subject knowledge and real teaching situations; New areas on talk and dialogic learning; Increased emphasis on ICT and cross-curricular study. This book will appeal to all trainee and newly qualified teachers needing to achieve both the demands of subject knowledge for Qualified Teacher Status, and a firm understanding of the expectations of the National Curriculum for English.
Fuzzy Systems and Knowledge Discovery by Lipo Wang,Licheng Jiao,Guanming Shi,Xue Lu,Jing Liu Pdf
This book constitutes the refereed proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, held in federation with the Second International Conference on Natural Computation ICNC 2006. The book presents 115 revised full papers and 50 revised short papers. Coverage includes neural computation, quantum computation, evolutionary computation, DNA computation, fuzzy computation, granular computation, artificial life, innovative applications to knowledge discovery, finance, operations research, and more.
Knowledge Acquisition from Text and Pictures by H. Mandl,J.R. Levin Pdf
Media-didactics have recently become more firmly grounded on cognitive theory, with an increasing concern for the internal processes of knowledge representation and acquisition. With this cognitive aspect in mind, an international group of researchers held a meeting in Tübingen, Federal Republic of Germany, to present and discuss the theoretical approaches to and empirical investigations of knowledge acquisition from text and pictures. This volume contains the revised contributions resulting from that meeting.
Advances in Knowledge Acquisition by Nigel Shadbolt,Kieron O'Hara,Guus Schreiber Pdf
This book presents the refereed proceedings of the 9th European Knowledge Acquisition Workshop, EKAW '96, held in Nottingham, UK, in May 1996. The 23 revised full papers included address the most relevant theoretical and applicational aspects of knowledge acquisition with a certain emphasis on the acquisition of knowledge for the modelling or automation of complex problem-solving behaviour. The volume is organized in sections on theoretical and general issues, eliciting knowledge from textual or other sources, data-mining, group elicitation, and planning.
