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» An Ontology-Based Information Retrieval Model
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SIGIR
2008
ACM
13 years 10 months ago
Using parsimonious language models on web data
In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefor...
Rianne Kaptein, Rongmei Li, Djoerd Hiemstra, Jaap ...
SEMWEB
2007
Springer
14 years 4 months ago
Probabilistic Geospatial Ontologies
Partial knowledge about geospatial categories is critical for knowledge modelling in the geospatial domain but is beyond the scope of conventional ontologies. Degree of overlaps be...
Sumit Sen
SIGIR
2004
ACM
14 years 3 months ago
Sentence completion
We discuss a retrieval model in which the task is to complete a sentence, given an initial fragment, and given an application specific document collection. This model is motivate...
Korinna Grabski, Tobias Scheffer
ACL
2006
13 years 11 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
ICTIR
2009
Springer
14 years 4 months ago
Modeling Expected Utility of Multi-session Information Distillation
Abstract. An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple ...
Yiming Yang, Abhimanyu Lad