A Question Answering System based on Information Retrieval and Validation.
Álvaro Rodrigo, Joaquín Pérez-Iglesias, Anselmo Peñas, Guillermo Garrido, Lourdes Araujo

Cross Language Evaluation Forum (CLEF 2010), Notebook Papers/LABs/Workshops (2010)

Our participation at ResPubliQA 2010 was based on applying an Information
Retrieval (IR) engine of high performance and a validation step for
removing incorrect answers. The IR engine received additional information from
the analysis of questions, what produces a slight improvement in results. However,
the validation module discarded sometimes too much correct answers, contributing
to reduce the overall performance. These errors were due to the application
of too strict constraints. Therefore, future work must be focused on reducing
the amount of false negatives returned by the validation module. On the other
hand, we observed that IR ranking offers important information for selecting the
final answer, but better results could be obtained if additional sources of information
were also considered.