Time In Natural Language
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Representing Time in Natural Language
The topic of temporal meaning in texts has received considerable attention in recent years from scholars in linguistics, logical semantics, cognitive science, and artificial intelligence. Representing Time in Natural Language offers a systematic and detailed account of how we use temporal information contained in a text or in discourse to reason about the flow of time, inferring the order in which events happened when this is not explicitly stated. A new representational system is designed to formalize an appropriately context-dependent notion of situated inference. The Dynamic Aspect Tree, representing temporal dependencies, constitutes a novel and important dynamic temporal logic, one that makes it easy to see "what follows when" from the information given in an ordinary English text.
Time and TAME in Language
Author: Ana Maria Tramunt Ibaños
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2014-09-26
This book presents a collection of papers on various syntactic and semantic aspects of temporal expression in language. The articles included in this volume were presented at the I International Meeting on Syntax and Semantics and their Interfaces, with the main theme of the event being time. The authors include well-renowned researchers as well as new contributors to the field who present cutting-edge research on a variety of topics, ranging from the fundamental nature of time to formal approaches to specific tense-aspect structures as well as their interaction with other grammatical categories. This volume represents a valuable contribution to the field and will be of interest to scholars studying the representation of time in language as well as to syntacticians and semanticists in general.
Natural Language Processing and Information Systems
This book constitutes the refereed proceedings of the 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, held in Klagenfurt, Austria in May/June 2006 as part of UNISCON 2006. The book presents 17 revised full papers and 5 revised short papers, organized in topical sections on concepts extraction and ontology, ontologies and task repository utilization, query processing, information retrieval and dialog processing, and NLP techniques.