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...
Question answering research has only recently started to spread from short factoid questions to more complex ones. One significant challenge is the evaluation: manual evaluation i...
Joanna Mrozinski, Edward W. D. Whittaker, Sadaoki ...
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
This paper outlines a novel approach to the computation of answer sets in an evolving and interactive environment. Instead of recomputing the semantics of the entire program, our a...
This paper describes the development of a question answering system for monolingual and cross-lingual tasks for the languages English and German. We developed the question answeri...