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» Two-stage language models for information retrieval
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IR
2008
13 years 7 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
CIKM
2011
Springer
12 years 7 months ago
Ranking-based processing of SQL queries
A growing number of applications are built on top of search engines and issue complex structured queries. This paper contributes a customisable ranking-based processing of such qu...
Hany Azzam, Thomas Roelleke, Sirvan Yahyaei
SIGIR
2012
ACM
11 years 10 months ago
Looking inside the box: context-sensitive translation for cross-language information retrieval
Cross-language information retrieval (CLIR) today is dominated by techniques that use token-to-token mappings from bilingual dictionaries. Yet, state-of-the-art statistical transl...
Ferhan Türe, Jimmy J. Lin, Douglas W. Oard
SEMCO
2007
IEEE
14 years 1 months ago
Integrating Semantic Knowledge into Text Similarity and Information Retrieval
This paper studies the influence of lexical semantic knowledge upon two related tasks: ad-hoc information retrieval and text similarity. For this purpose, we compare the performa...
Christof Müller, Iryna Gurevych, Max Müh...
EACL
2006
ACL Anthology
13 years 9 months ago
Adaptivity in Question Answering with User Modelling and a Dialogue Interface
Most question answering (QA) and information retrieval (IR) systems are insensitive to different users' needs and preferences, and also to the existence of multiple, complex ...
Silvia Quarteroni, Suresh Manandhar