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Probing Semantic Relations
Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where natural language processing is required. "Probing Semantic Relations" provides a state of the art of current research trends in the area of knowledge extraction from text using linguistic patterns. First published as a Special Issue of "Terminology" 14:1 (2008), the current book emphasizes how definitional knowledge is conveyed by conceptual and semantic relations such as synonymy, causality, hypernymy (generic specific), and meronymy (part whole). Showing the difficulties and successes of pattern-based approaches, the book illustrates current and future challenges in knowledge acquisition from text. This book provides new perspectives to researchers and practitioners in terminology, knowledge engineering, natural language processing, and semantics."
Natural Language Understanding in a Semantic Web Context
This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real content of the Semantic Web in a significant and lasting way. The book covers the basics of NLP, with a focus on Natural Language Understanding (NLU), referring to semantic processing, information extraction and knowledge acquisition, which are seen as the key links between the SW and NLP communities. Major emphasis is placed on mining sentences in search of entities and relations. In the course of thi...
Knowledge Graphs and Language Technology
This book constitutes the combined refereed proceedings of ISWC Satellite Wor shops KEKIand NLP&DBpedia 2016 which were held in conjunction with ISWC 2016 in Kobe, Japan, inOctober 2016. The 9 papers presented were carefully selected and reviewed from 20submissions. They focus on the use of linguistic linked open data, the linguistic aspectsof DBpedia, the improvement of of DBpedia through NLP applications, on increasing theNLP applications through integrating knowledge from DPpedia.
Technology Enhanced Learning and Cognition
The use of technology in learning has increased dramatically. Training and education is now utilizing and almost integrated with the World Wide Web, podcasts, mobile and distant learning, interactive videos, serious games, and a whole range of e-learning. However, has such technology enhanced learning been effective? And how can it better serve training and education?E-learning must be 'brain friendly', so it optimizes learning to the cognitive architecture of the learners. If technology enhanced learning promotes the formation of effective mental representations and works with the human cognitive system, then the learners will not only be able to acquire information more efficiently, but th...
The Emergence of Protolanguage
Somewhere and somehow, in the 5 to 7 million years since the last common ancestors of humans and the great apes, our ancestors got language. The authors of this volume all agree that there was no single mutation or cultural innovation that took our ancestors directly from a limited system of a few vocalizations (primarily innate) and gestures (some learned) to language. They further agree to use the term protolanguage for the beginnings of an open system of symbolic communication that provided the bridge to the use of fully expressive languages, rich in both lexicon and grammar. But here consensus ends, and the theories presented here range from the "compositional view" that protolanguage wa...
Thinning Methodologies For Pattern Recognition
Thinning is a technique widely used in the pre-processing stage of a pattern recognition system to compress data and to enhance feature extraction in the subsequent stage. It reduces a digitized pattern to a skeleton so that all resulting branches are 1 pixel thick. The method seems easy at first and has many advantages, however after two decades of intensive research, it has been found to be very challenging due to the difficulties in programming computers to do it.This collection of 15 papers by leading scientists working in the area examines the theoretical and experimental aspects of thinning methodologies. The authors have addressed the problems faced, compared their performance results with others, and assessed the challenges ahead. Researchers will find the volume helpful in shedding light on difficult issues and stimulating further research in the area.
Lexicography, Terminology, and Translation
This volume in honour of Ingrid Meyer is a tribute to her work in the interrelated fields of lexicography, terminology and translation. One key thing shared by these fields is that they all deal with text. Accordingly, the essays in this collection are united by the fact that they too are all "text-based" in some way. In the majority of essays, electronic corpora serve as the textual basis for investigations. Chapters focusing on electronic corpora include a description of a tool that can be used to help build specialized corpora in a semi-automatic fashion; corpus-based investigations of terminological knowledge patterns, terminological implantation, lexicographic information and translatio...
Encyclopedia of Language and Linguistics
The first edition of ELL (1993, Ron Asher, Editor) was hailed as "the field's standard reference work for a generation". Now the all-new second edition matches ELL's comprehensiveness and high quality, expanded for a new generation, while being the first encyclopedia to really exploit the multimedia potential of linguistics. * The most authoritative, up-to-date, comprehensive, and international reference source in its field * An entirely new work, with new editors, new authors, new topics and newly commissioned articles with a handful of classic articles * The first Encyclopedia to exploit the multimedia potential of linguistics through the online edition * Ground-breaking and International ...
Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, which was planned to take place in Ottawa, ON, Canada. Due to the COVID-19 pandemic, however, it was held virtually during May 13–15, 2020. The 31 regular papers and 24 short papers presented together with 4 Graduate Student Symposium papers were carefully reviewed and selected from a total of 175 submissions. The selected papers cover a wide range of topics, including machine learning, pattern recognition, natural language processing, knowledge representation, cognitive aspects of AI, ethics of AI, and other important aspects of AI research.
Application-driven Terminology Engineering
A common framework under which the various studies on terminology processing can be viewed is to consider not only the texts from which the terminological resources are built but particularly the applications targeted. The current book, first published as a Special Issue of Terminology 11:1 (2005), analyses the influence of applications on term definition and processing. Two types of applications have been identified: intermediary and terminal applications (involving end users). Intermediary applications concern the building of terminological knowledge resources such as domain-specific dictionaries, ontologies, thesaurus or taxonomies. These knowledge resources then form the inputs to terminal applications such as information extraction, information retrieval, science and technology watch or automated book index building. Most of the applications dealt with in the book fall into the first category. This book represents the first attempt, from a pluridisciplinary viewpoint, to take into account the role of applications in the processing of terminology.
