Type

Conference Proceedings

Authors

Johannes Leveling
Sven Hartrumpf
Iustin Dornescu
Nuno Cardoso

Subjects

Computer Science

Topics
statistical approaches question answering world relevance information storage and retrieval systems source semantic

Revamping question answering with a semantic approach over world knowledge (2010)

Abstract 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.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> Subject = Computer Science: Information storage and retrieval systems
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Next Generation Localisation (CNGL)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Johannes Leveling, Sven Hartrumpf, Iustin Dornescu, Nuno Cardoso

Experts in our system

1
Johannes Leveling
Dublin City University
Total Publications: 66