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CIKM
2010
Springer
15 years 2 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
ICDE
2008
IEEE
425views Database» more  ICDE 2008»
17 years 4 months ago
NAGA: Searching and Ranking Knowledge
The Web has the potential to become the world’s largest knowledge base. In order to unleash this potential, the wealth of information available on the Web needs to be extracte...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
SEMWEB
2005
Springer
15 years 9 months ago
Finding and Ranking Knowledge on the Semantic Web
Abstract. Swoogle helps software agents and knowledge engineers find Semantic Web knowledge encoded in RDF and OWL documents on the Web. Navigating such a Semantic Web on the Web ...
Li Ding, Rong Pan, Timothy W. Finin, Anupam Joshi,...
COMAD
2009
15 years 5 months ago
Vector-based Ranking Techniques for Identifying the Topical Anchors of a Context
Terms in textual documents tend to occur more in contexts to which they are related. We can exploit this bias by modelling terms and their cooccurrences s, resembling the abstract...
Aditya Ramana Rachakonda, Srinath Srinivasa
SIGMOD
2008
ACM
118views Database» more  SIGMOD 2008»
15 years 4 months ago
NAGA: harvesting, searching and ranking knowledge
The presence of encyclopedic Web sources, such as Wikipedia, the Internet Movie Database (IMDB), World Factbook, etc. calls for new querying techniques that are simple and yet mor...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...