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EDBT
2010
ACM
144views Database» more  EDBT 2010»
15 years 10 months ago
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia
Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts ha...
Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol,...
CIKM
2008
Springer
15 years 8 months ago
Learning to link with wikipedia
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...
David N. Milne, Ian H. Witten
EDM
2009
120views Data Mining» more  EDM 2009»
15 years 4 months ago
Improving Student Question Classification
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to...
Cecily Heiner, Joseph L. Zachary
CIKM
2011
Springer
14 years 6 months ago
S3K: seeking statement-supporting top-K witnesses
Traditional information retrieval techniques based on keyword search help to identify a ranked set of relevant documents, which often contains many documents in the top ranks that...
Steffen Metzger, Shady Elbassuoni, Katja Hose, Ral...
NLDB
2007
Springer
16 years 22 days ago
Electronic Dictionaries and Transducers for Automatic Processing of the Albanian Language
We intend on developing electronic dictionaries and Finite State Transducers for the automatic processing of the Albanian Language. We describe some peculiarities of this language ...
Odile Piton, Klara Lagji, Remzi Përnaska