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» An Entity-Level Approach to Information Extraction
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122
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CLEF
2006
Springer
15 years 7 months ago
The University of Lisbon at GeoCLEF 2006
This paper details the participation of the XLDB group from the University of Lisbon at the GeoCLEF task of CLEF 2006. We tested text mining methods that make use of an ontology t...
Bruno Martins, Nuno Cardoso, Marcirio Silveira Cha...
114
Voted
MICRO
1997
IEEE
90views Hardware» more  MICRO 1997»
15 years 7 months ago
ProfileMe: Hardware Support for Instruction-Level Profiling on Out-of-Order Processors
Profile data is valuable for identifying performance bottlenecks and guiding optimizations. Periodic sampling of a processor's performance monitoring hardware is an effective...
Jeffrey Dean, James E. Hicks, Carl A. Waldspurger,...
179
Voted
EVENT
2001
267views more  EVENT 2001»
15 years 5 months ago
View-Invariant Representation and Learning of Human Action
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Cen Rao, Mubarak Shah
162
Voted
CAISE
2010
Springer
15 years 4 months ago
Beyond Process Mining: From the Past to Present and Future
Abstract. Traditionally, process mining has been used to extract models from event logs and to check or extend existing models. This has shown to be useful for improving processes ...
Wil M. P. van der Aalst, Maja Pesic, Minseok Song
163
Voted
IJSI
2008
129views more  IJSI 2008»
15 years 3 months ago
Managing the Acronym/Expansion Identification Process for Text-Mining Applications
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince