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» Statistical Language Models for Information Retrieval
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114
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CIKM
2010
Springer
15 years 1 months ago
A cross-lingual framework for monolingual biomedical information retrieval
An important challenge for biomedical information retrieval (IR) is dealing with the complex, inconsistent and ambiguous biomedical terminology. Frequently, a concept-based repres...
Dolf Trieschnigg, Djoerd Hiemstra, Franciska de Jo...
116
Voted
SIGIR
2005
ACM
15 years 8 months ago
Probabilistic hyperspace analogue to language
Song and Bruza [6] introduce a framework for Information Retrieval(IR) based on Gardenfor’s three tiered cognitive model; Conceptual Spaces[4]. They instantiate a conceptual spa...
Leif Azzopardi, Mark Girolami, Malcolm Crowe
121
Voted
ACL
2001
15 years 4 months ago
Joint and Conditional Estimation of Tagging and Parsing Models
This paper compares two different ways of estimating statistical language models. Many statistical NLP tagging and parsing models are estimated by maximizing the (joint) likelihoo...
Mark Johnson
109
Voted
SIGIR
2005
ACM
15 years 8 months ago
Bootstrapping dictionaries for cross-language information retrieval
The bottleneck for dictionary-based cross-language information retrieval is the lack of comprehensive dictionaries, in particular for many different languages. We here introduce a...
Kornél G. Markó, Stefan Schulz, Olen...
111
Voted
IR
2008
15 years 2 months ago
A probability ranking principle for interactive information retrieval
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...
Norbert Fuhr