This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the s...
Daniel M. Bikel, Scott Miller, Richard M. Schwartz...
We show some limitations of the ROUGE evaluation method for automatic summarization. We present a method for automatic summarization based on a Markov model of the source text. By...
In this paper, we describe lexical rule-based approach to affect sensing from text, and application of the developed Affect Analysis Model in 3D virtual world Second Life. To enric...
Alena Neviarouskaya, Helmut Prendinger, Mitsuru Is...
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
Development of today's advanced applications is increasingly being accomplished using multi-faceted modeling. For example, the areas of simulation and workflow modeling genera...