Though polarity classification has been extensively explored at document level, there has been little work investigating feature design at sentence level. Due to the small number ...
This paper presents an approach to creating flexible general-logic representations from language for use in high-level reasoning tasks in cognitive modeling. These representations...
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
In this paper, we put forth the first join tree propagation algorithm that selectively applies either arc reversal (AR) or variable elimination (VE) to build the propagated messag...
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
Scientists typically need to take a large volume of information into account in order to deal with re-occurring tasks such as inspecting proceedings, finding related work, or revi...
Algirdas Avizienis, Gintare Grigonyte, Johann Hall...
In this paper, we are interested in the qualitative knowledge that underlies some given probabilistic information. To represent such qualitative structures, we use ordinal conditi...
Gabriele Kern-Isberner, Matthias Thimm, Marc Finth...
Knowledge compilation is a common technique for propositional logic knowledge bases. A given knowledge base is transformed into a normal form, for which queries can be answered ef...
1 This study evaluates the robustness of established computational indices used to assess text relatedness in userlanguage. The original User-Language Paraphrase Corpus (ULPC) was ...
Adam M. Renner, Philip M. McCarthy, Danielle S. Mc...
As robots become more common, it becomes increasingly useful for them to communicate and effectively share knowledge that they have learned through their individual experiences. L...