In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Abstract. Human-like holder plays an important role in identifying actual emotion expressed in text. This paper presents a baseline followed by syntactic approach for capturing emo...
There is an increasing use of computer media for negotiations. However, the use of computer-mediated channels increases the hostile expressions of emotion, termed flaming. Althoug...
Norman A. Johnson, Randolph B. Cooper, Wynne W. Ch...
Abstract. We address the problem of providing a logical characterization of reasoning based on stereotypes. Following [6] we take a semantic perspective and we base our model on a ...