In contrast to traditional information retrieval systems, which return ranked lists of documents that users must manually browse through, a question answering system attempts to d...
This paper presents the ITC-irst Multilingual Question Answering system DIOGENE. The system was used successfully on the CLEF-2003, TREC-2003, TREC-2002 and TREC-2001 QA tracks. DI...
This paper presents a simple approach to the Wikipedia Question Answering pilot task in CLEF 2006. The approach ranks the snippets, retrieved using the Lucene search engine, by mea...
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...
In this paper we describe the QuALiM Question Answering system which uses linguistic analysis of questions as well as candidate sentences in its answer finding process. To this en...