HITIQA is an interactive question answering technology designed to allow intelligence analysts and other users of information systems to pose questions in natural language and obt...
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...
This paper discusses our system’s results at the Spanish Question Answering task of CLEF 2007. Our system is centered in a full data-driven approach that combines information ret...
We describe our approach in constructing question answering systems, which involves natural language parsing enhanced with named entity extraction and part-of-speech tagging. Perf...
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...