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- W1488750392 abstract "Classic textual question answering (QA) approaches thatrely 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." @default.
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- W1488750392 date "2010-09-01" @default.
- W1488750392 modified "2023-09-27" @default.
- W1488750392 title "Revamping Question Answering with a Semantic Approach over World Knowledge." @default.
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