Revamping question answering with a semantic approach over world knowledge
Cardoso, Nuno and Dornescu, Iustin and Hartrumpf, Sven and Leveling, Johannes (2010) Revamping question answering with a semantic approach over world knowledge. In: CLEF labs 2010, Multiple Language Question Answering 2010 (MLQA10), 22-23 September 2010, Padua, Italy.
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Classic textual question answering (QA) approaches that
rely on statistical keyword relevance scoring without exploiting semantic content are useful to a certain extent, but are limited to questions answered by a small text excerpt. With the maturation of Wikipedia and with upcoming projects like DBpedia, we feel that nowadays QA can adopt a deeper, semantic approach to the task, where answers can be inferred using knowledge bases to overcome the limitations of textual QA approaches. In GikiCLEF, a QA-flavoured evaluation task, the best performing systems followed a semantic approach. In this paper, we present our motivations for preferring semantic approaches to QA over textual approaches, with Wikipedia serving as a raw knowledge source.
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