Multilingual question-answering system in biomedical domain on the web: an evaluation

Authors:
María-Dolores Olvera-Lobo;Juncal Gutiérrez-Artacho
Affiliations:
CSIC, Unidad Asociada Grupo SCImago, Madrid, Spain and University of Granada, Spain;University of Granada, Spain
Venue:
CLEF'11 Proceedings of the Second international conference on Multilingual and multimodal information access evaluation
Year:
2011

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Abstract

Question-answering systems (QAS) are presented as an alternative to traditional systems of information retrieval, intended to offer precise responses to factual questions. An analysis has been made of the results offered by the QA multilingual biomedical system HONqa, available on the Web. The study has used a set of 120 biomedical definitional questions (What is...?), taken from the medical website WebMD, which were formulated in English, French, and Italian. The answers have been analysed using a serie of specific measures (MRR, TRR, FHS, precision, MAP). The study confirms that for all the languages analysed the functioning effectiveness needs to be improved, although in the multilingual context analysed the questions in the English language achieve better results for retrieving definitional information than in French and Italian.