Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
Abstract. This article introduces two techniques to improve the propagation efficiency of CSP based finite model generation methods. One approach consists in statically rewriting ...
We regard answer extraction of Question Answering (QA) system as a classification problem, classifying answer candidate sentences into positive or negative. To confirm the feasibil...
The aim of this paper is to provide an analysis of the function of imperatives in dialogue. In particular, the focus is on the use of logically complex imperatives (e.g., `Say hel...
This paper demonstrates that several known sequence kernels can be expressed in a unified framework in which the position specificity is modeled by fuzzy equivalence relations. In ...
Ulrich Bodenhofer, Karin Schwarzbauer, Mihaela Ion...