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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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Information storage and retrieval systems
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15856
Deposited On:22 Nov 2010 12:01 by Shane Harper. Last Modified 30 Jun 2011 12:13

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