Classic textual question answering (QA) approaches that rely on statistical keyword relevance scoring without exploiting semantic content are useful to a certain extent, but are li...
Nuno Cardoso, Iustin Dornescu, Sven Hartrumpf, Joh...
In the current project, we aim at developing an approach for automatically answering why-questions. We created a data collection for research, development and evaluation of a meth...
Abstract. One major goal of text mining is to provide automatic methods to help humans grasp the key ideas in ever-increasing text corpora. To this effect, we propose a statistica...
Specific information on biomolecular events such as protein-protein and gene-protein interactions is essential for molecular biology researchers. However, the results derived by c...
Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai...
This paper presents a method for cross-language question answering. The method combines multiple query translations in order to improve the answering precision. The combination of ...