Author: Peter William FoltzPublisher:
ISBN:
Category : Discourse analysis
Languages : en
Pages : 377
Book Description
Special Issue: Quantitative Approaches to Semantic Knowledge Representations
Author: Peter William FoltzPublisher:
ISBN:
Category : Discourse analysis
Languages : en
Pages : 377
Book Description
Quantitative Approaches to Semantic Knowledge Representations
Author: Peter W. FoltzPublisher: Psychology Press
ISBN: 9780805898484
Category : Discourse analysis
Languages : en
Pages : 0
Book Description
This special issue describes several approaches to semantic knowledge representations. Each approach relies on statistical procedures to derive or analyze its representation. The articles cover a variety of statistical techniques which capture different aspects of knowledge representation. These techniques include using high-dimensional semantic spaces for representing word and passage meaning, Knowledge Diagraph Contribution (KDC) analysis for comparing propositional representations, and Principal Components Analysis and Singular Value Decomposition for determining the primary semantic relationships among concepts. Although the representations described primarily represent semantic information, some approaches incorporate syntactic information as well, most particularly the KDC analysis and the HAL high-dimensional space model. All of the statistical approaches in this issue capture the effects of regularities inherent in language. These regularities are derived either through how words occur in similar contexts, such as sentences or paragraphs, or through semantic relationships among concepts or propositions in a text or reader's representation. With the development of powerful computers, computational methods, and collections of large corpora in electronic form, new statistical approaches to text and discourse have become possible. Many of these approaches have focused on analyzing at levels such as word recognition, syntactic processing, and formal semantics. However, the approaches in this issue tend to focus on semantic and higher-level features of discourse and to test their representations against subjects' representations of discourse derived from empirical data. While these approaches can serve as practical tools for the analysis of texts and readers' recall, they also serve as theoretical approaches to knowledge representation. They address issues such as the derivation of meaning of words and text passages based on context and the determination of the representation of the primary associations between concepts or propositions. Accordingly, the articles have implications for the extension of existing theories and the development of new theories of semantic knowledge representation. The articles in this issue describe approaches that should be of use to the Discourse Processes community. These approaches can serve as practical applications to analyze texts and summaries, predict learning, test models, and develop training material. They can also help inform theory on knowledge representations in discourse. As theory, these articles address issues of the role of context, knowledge structures, and discourse structures for understanding the representation of semantic information presented in texts and formed by readers.
Semantic Knowledge and Semantic Representations
Author: Rosaleen A. McCarthyPublisher: Psychology Press
ISBN: 9780863779367
Category : Language Arts & Disciplines
Languages : en
Pages : 380
Book Description
What is the basis of our ability to assign meanings to words or to objects? Such questions have, until recently, been regarded as lying within the province of philosophy and linguistics rather than psychology. However, recent advances in psychology and neuropsychology have led to the development of a scientific approach to analysing the cognitive bases of semantic knowledge and semantic representations. Indeed, theory and data on the organisation and structure of semantic knowledge have now become central and hotly debated topics in contemporary psychology. This special issue of Memory brings together a series of papers from established laboratories that are at the forefront of semantic memory research. The collection includes papers presenting theoretical overviews of the field as well as papers containing new experimental findings. A variety of approaches to the problems of analysing semantic knowledge and semantic representations are included in this volume. For example, experimental studies of normal subjects are included together with neuropsychological investigations of patients with impaired semantic memory and computational models of the representation of knowledge in normality and disease. This collection will therefore be essential reading for researchers and others who are interested in memory function. It will also be of interest to cognitive scientists, linguists, philosophers and others who have puzzled over the many complex and central questions that probe the roots of our ability to understand meaning.
Semantic Knowledge and Semantic Representations
Author: Rosaleen A. McCarthyPublisher:
ISBN:
Category : Human information processing
Languages : en
Pages :
Book Description
Special Issue: Semantic Knowledge Representation
Author: B. HarringtonLearning Analytics in R with SNA, LSA, and MPIA
Author: Fridolin WildPublisher: Springer
ISBN: 3319287915
Category : Computers
Languages : en
Pages : 287
Book Description
This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape from the digital traces left by a learning community in the co-construction of knowledge. The hybrid algorithm is implemented in the statistical programming language and environment R, introducing packages which capture – through matrix algebra – elements of learners’ work with more knowledgeable others and resourceful content artefacts. The book provides comprehensive package-by-package application examples, and code samples that guide the reader through the MPIA model to show how the MPIA landscape can be constructed and the learner’s journey mapped and analysed. This building block application will allow the reader to progress to using and building analytics to guide students and support decision-making in learning.
Special Issue on Semantic Knowledge and Semantic Representations
Author: Rosaleen A. McCarthyPublisher:
ISBN:
Category : Semantics
Languages : en
Pages : 370
Book Description
Trends in Applied Intelligent Systems
Author: Nicolás García-PedrajasPublisher: Springer
ISBN: 3642130224
Category : Computers
Languages : en
Pages : 802
Book Description
The presentations of theinvitedspeakersandauthorsmainlyfocusedondevelopingandstudyingnew methods to cope with the problems posed by real-life applications of arti?cial intelligence.Paperspresentedinthetwentythirdconferenceintheseriescovered theories as well as applications of intelligent systems in solving complex real-life problems. We received 297 papers for the main track, selecting 119 of them with the highest quality standards. Each paper was revised by at least three members of the Program Committee.
Current Index to Journals in Education
Author: Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Author: Lluis GodoPublisher: Springer Science & Business Media
ISBN: 3540273263
Category : Computers
Languages : en
Pages : 1043
Book Description
These are the proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2005, held in Barcelona (Spain), July 6–8, 2005. The ECSQARU conferences are biennial and have become a major forum for advances in the theory and practice of r- soning under uncertainty. The ?rst ECSQARU conference was held in Marseille (1991), and after in Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001) and Aalborg (2003). The papers gathered in this volume were selected out of 130 submissions, after a strict review process by the members of the Program Committee, to be presented at ECSQARU 2005. In addition, the conference included invited lectures by three outstanding researchers in the area, Seraf ́ ?n Moral (Imprecise Probabilities), Rudolf Kruse (Graphical Models in Planning) and J ́ erˆ ome Lang (Social Choice). Moreover, the application of uncertainty models to real-world problems was addressed at ECSQARU 2005 by a special session devoted to s- cessful industrial applications, organized by Rudolf Kruse. Both invited lectures and papers of the special session contribute to this volume. On the whole, the programme of the conference provided a broad, rich and up-to-date perspective of the current high-level research in the area which is re?ected in the contents of this volume. IwouldliketowarmlythankthemembersoftheProgramCommitteeandthe additional referees for their valuable work, the invited speakers and the invited session organizer.