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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...
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."
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...
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.
Romance of Transgression in Canada
The rich and contradictory history of Canadian cinema and video - queer, queered, and queering.
Advances in Artificial Intelligence
The 18th conference of the Canadian Society for the Computational Study of Intelligence (CSCSI) continued the success of its predecessors. This set of - pers re?ects the diversity of the Canadian AI community and its international partners. AI 2005 attracted 135 high-quality submissions: 64 from Canada and 71 from around the world. Of these, eight were written in French. All submitted papers were thoroughly reviewed by at least three members of the Program Committee. A total of 30 contributions, accepted as long papers, and 19 as short papers are included in this volume. We invited three distinguished researchers to give talks about their current research interests: Eric Brill from Microsoft...
Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 30th Canadian Conference on Artificial Intelligence, Canadian AI 2017, held in Edmonton, AB, Canada, in May 2017. The 19 regular papers and 24 short papers presented together with 6 Graduate Student Symposium papers were carefully reviewed and selected from 62 submissions. The focus of the conference was on the following subjects: Data Mining and Machine Learning; Planning and Combinatorial Optimization; AI Applications; Natural Language Processing; Uncertainty and Preference Reasoning; and Agent Systems.
Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000, held in Montreal, Quebec, Canada, in May 2000. The 25 revised full papers presented together with 12 10-page posters were carefully reviewed and selected from more than 70 submissions. The papers are organized in topical sections on games and constraint satisfaction; natural language processing; knowledge representation; AI applications; machine learning and data mining; planning, theorem proving, and artificial life; and neural networks.
New perspectives on cohesion and coherence
The contributions to this volume investigate relations of cohesion and coherence as well as instantiations of discourse phenomena and their interaction with information structure in multilingual contexts. Some contributions concentrate on procedures to analyze cohesion and coherence from a corpus-linguistic perspective. Others have a particular focus on textual cohesion in parallel corpora that include both originals and translated texts. Additionally, the papers in the volume discuss the nature of cohesion and coherence with implications for human and machine translation. The contributors are experts on discourse phenomena and textuality who address these issues from an empirical perspectiv...
Patterns, Meaningful Units and Specialized Discourses
This collection of papers explores some facets in the areas of Corpus Linguistics and Phraseology which have gone unnoticed so far. With the aid of a range of different corpora and new-generation software tools, the authors tackle specialized domains and discourse in specialized settings, utilizing some innovative approaches to the study of recurrent features and patterns in the languages of economics, history, linguistics, politics, and other fields. The papers critically examine contemporary discourses in which experts and laypersons are equally involved, showing that the spoken and written texts, selected from various specialized corpora, can be seen as collective memory banks. The series of reflections and specialized meanings uncovered in these texts are closely tied to particular sequences of patterned chunks in language and offer exciting insights into the inseparability of lexis and grammar.The contributions to this volume were previously published in "International Journal of Corpus Linguistics" 13:3 (2008).
