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SIGIR
2004
ACM
14 years 1 months ago
Probabilistic model for contextual retrieval
Contextual retrieval is a critical technique for facilitating many important applications such as mobile search, personalized search, PC troubleshooting, etc. Despite of its impor...
Ji-Rong Wen, Ni Lao, Wei-Ying Ma
CONTEXT
2007
Springer
14 years 1 months ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano
CIKM
2010
Springer
13 years 6 months ago
Skyline query processing for uncertain data
Recently, several research efforts have addressed answering skyline queries efficiently over large datasets. However, this research lacks methods to compute these queries over un...
Mohamed E. Khalefa, Mohamed F. Mokbel, Justin J. L...
ACL
1994
13 years 9 months ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe
COLING
2000
13 years 9 months ago
Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution
This paper presents the use of probabilistic class-based lexica for disambiguation in targetword selection. Our method employs minimal but precise contextual information for disam...
Detlef Prescher, Stefan Riezler, Mats Rooth