This paper presents QA@L2F, the question-answering system developed at L2F, INESC-ID. QA@L2F follows different strategies according with the question type, and relies strongly on named entity recognition and on the pre-detection of linguistic patterns. Each question type is mapped into a single strategy; however, if no answer is found, the system proceeds and tries to find an answer using one of the other strategies. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Mendes, A., Coheur, L., Mamede, N. J., Ribeiro, R., Batista, F., & De Matos, D. M. (2008). QA@L2F, first steps at QA@CLEF. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5152 LNCS, pp. 356–363). Springer Verlag. https://doi.org/10.1007/978-3-540-85760-0_45
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