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- W2295001245 abstract "This article describes the participation of a group from the University of Evora in the CLEF2013 QA4MRE main task. Our system has a supercial text analysis based approach. The methodology starts with the preprocessing of background collection documents, whose texts are lemmatized and then indexed. Named entities and numerical ex- pressions are sought in questions and their candidate answers. Then the lemmatizer is applied and stop words are removed. Answer patterns are formed for each question+answer pair, with a search query for docu- ment retrieval. Original search terms are expanded with synonyms and hyperonyms. Finally, the texts retrieved for each candidate response are segmented and scored for answer selection. Considering only the main questions, the system best result was obtained in the third run, having answered to 206 questions, with 0.24 c@1 and 51 correct answers. When evaluating main and auxiliary questions, the nal run continued to have our better results, being answered 245 questions, with 64 right answers and 0.26 for c@1. The use of hypernyms proved to be an improvement factor in the third run, which results had a 12% increase of correct an- swers and a 0.02 gain in c@1." @default.
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- W2295001245 date "2013-01-01" @default.
- W2295001245 modified "2023-09-28" @default.
- W2295001245 title "An Approach to the Main Task of QA4MRE-2013" @default.
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