Titlebook: Advances in Artificial Intelligence; 9th Mexican Internat Grigori Sidorov,Arturo Hernández Aguirre,Carlos Al Conference proceedings 2010 Sp

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Aboul Ella Hassanien,Ahmad Taher Azare. Sentiment analyzers developed for other well-studied languages, like English, are not workable for Urdu, due to their scriptic, morphological, and grammatical differences. As a result, this language should be studied as an independent problem domain. Our approach towards sentiment analysis is bas

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Intelligent Systems Reference Librarye of knowledge. We show how the widely used semantic measures WordNet-based can be generalized to build sentence level semantic metrics in order to be used in the RTE. We also provide an analysis of efficiency of these metrics and drawn some conclusions about their utility in the practice in recogni

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L. C. Hoffmann,J. J. Cicchese,S. D. Berrylength of a dialogue. As innovative features, the manager accommodates the “l(fā)ounge mode” for passing all initiative back to the user within a single dialogue turn, and a two-layered structure for representing the dialogue context. At the end of the paper, we suggest future extensions to the architec

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Intelligent Systems Reference Libraryseveral components. Some of them are the ER-memory, EP-memory and other minor modules that provide the prototype of good modeling of Spanish sentences. They constitute the knowledge-representation mechanism that is used by WIH to build automatic answers during dialogs with humans. In this paper a sm

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Applications for Brain-Computer Interfacesrocess of information retrieval with simplified Conceptual Graph-like structures and compare the results with those of the vector space model. Our semantic representation, combined with a small simplification of the vector space model, gives better results. In order to build Conceptual Graph-like re

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Applications for Brain-Computer Interfaces to perform new tasks from “natural” interactions. Reinforcement learning has been widely used in robotics, however, traditional algorithms require long training times, and may have problems with continuous spaces. Programming by demonstration has been used to instruct a robot, but is limited by the

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Using BCI2000 for HCI-Centered BCI Researchgorithms with a service robot. As a result, the performance of these robots is less than adequate for most consumers, especially when the robots only rely on SLAM algorithms for their coverage services in an unknown environment. To address this problem, we propose a new coverage algorithm, AmaxCover

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