NLEL-MAAT at CLEF-ResPubliQA

NLEL at RespubliQA 2010

This report describes the participation of the NLEL Lab. from the Universidad Politécnica of Valencia to the RespubliQA task at CLEF 2010. The system designed for this participation is based on the one used in our previous participation, with some modifications required in order to adapt it to the new guidelines. The system participated to both the “Paragraph Selection” (PS) and “Answer Selecti...

NLEL-MAAT at ResPubliQA

This report presents the work carried out at NLE Lab for the QA@CLEF-2009 competition. We used the JIRS passage retrieval system, which is based on redundancy, with the assumption that it is possible to find the response to a question in a large enough document collection. The retrieved passages are ranked depending on the number, length and position of the question n-gram structures found in t...

NLEL-MAAT at CLEF-IP

This report presents the work carried out at NLE Lab for the CLEF-IP 2009 competition. We adapted the JIRS passage retrieval system for this task, with the objective to exploit the stylistic characteristics of the patents. Since JIRS was developed for the Question Answering task and this is the first time its model was used to compare entire documents, we had to carry out some transformations o...

Monolingual and Multilingual Question Answering on European Legislation

This paper documents the participation of the Research Institute for Artificial Intelligence to the CLEF 2010 ResPubliQA lab. We answered questions in Romanian and English from Romanian documents of Acquis Communautaire and the European Parliament Proceedings. We extend the report from the previous ResPubliQA participation by introducing multi-factored paragraph relevance score training onto En...

FIDJI @ ResPubliQA 2010