Mohamed Chetouani, Amir Hussain, Bruno Gas, Maurice Milgram, Jean-Luc Zarader
We present in this volume a collection of revised selected papers from the ISCA Tutorial and Research Workshop on Nonlinear Speech Processing (NO- LISP 2007)held in Paris, France, 22-25May,2007.NOLISP 2007was organized by the University Pierre and Marie Curie (UPMC) with the generous support of ISCA (International Speech Communication Association), EURASIP and the IEEE. NOLISP 2007 was the ?rst follow-on workshop to a series of three e- lier events related to nonlinear speech processing, that were organized within the framework of the European COST action 277 Nonlinear speech processing...
We present in this volume a collection of revised selected papers from the ISCA Tutorial and Research Workshop on Nonlinear Speech Processing (NO- LIS...
Huaguang Zhang, Amir Hussain, Derong Liu, Zhanshan Wang
This book constitutes the refereed proceedings of the 5th International Conference on Brain Inspired Cognitive Systems, BICS 2012, held in Shenyang, Liaoning, China in July 2012. The 46 high-quality papers presented were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on biologically inspired systems, cognitive neuroscience, models of consciousness, and neural computation.
This book constitutes the refereed proceedings of the 5th International Conference on Brain Inspired Cognitive Systems, BICS 2012, held in Shenyang, L...
Develops common sense computing techniques and applies it to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these.
Develops common sense computing techniques and applies it to bridge the semantic gap between word-level natural language data and the concept-level op...
This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this...
This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extract...