Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

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.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
102Kb

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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Information storage and retrieval systems
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
Official URL:http://clef2010.org/index.php?page=pages/proceedings.php
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

Download statistics

Archive Staff Only: edit this record