Abstract
This document contains the description of the experiments carried out by the SINAI group. We have developed an approach based on several lexical measures integrated by means of different machine learning models. Based on lexical features it obtains a 41% of accuracy in answer validation for the Question-Answering task.
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García-Cumbreras, M.Á., Perea-Ortega, J.M., Martínez-Santiago, F., Ureña-López, L.A. (2008). Combining Lexical Information with Machine Learning for Answer Validation at QA@CLEF 2007. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_49
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DOI: https://doi.org/10.1007/978-3-540-85760-0_49
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