This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks.

The volume includes descriptions of some of the most representative recent works on Intelligent Information Presentation and a view of the challenges ahead.

The book is accompanied by a freely available prototype interface, built according to the framework, and implemented using Prolog and ALE. This is the first in-depth exploration of the notion of time in natural language database interfaces.

This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.

Mindful of the important work accomplished by the previous workshop, the Call also specifically sought out research papers and panels that would comment and build upon the widely publicized results from Arlington.

This book constitutes the refereed proceedings of the Second Hellenic Conference on Artificial Intelligence, SETN 2002, held in Thessaloniki, Greece, in April 2002.

Information Theory and Statistics: A Tutorial is concerned with applications of information theory concepts in statistics, in the finite alphabet setting.

At the end of the review, three case studies are presented to illustrate the proposed grammar. A Stochastic Grammar of Images is an important contribution to the literature on structured statistical models in computer vision.

This book provides a concise account of the essential tools of infinite-dimensional first-order variational analysis illustrated by applications in many areas of analysis, optimization and approximation, dynamical systems, mathematical ...

The purpose of this text is to bring graduate students specializing in probability theory to current research topics at the interface of combinatorics and stochastic processes.