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» Linguistic Knowledge can Improve Information Retrieval
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JCDL
2006
ACM
92views Education» more  JCDL 2006»
15 years 3 months ago
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
In this paper we introduce POLAR, a probabilistic objectoriented logical framework for annotation-based information retrieval. In POLAR, the knowledge about digital objects, annot...
Ingo Frommholz, Norbert Fuhr
COLING
2010
14 years 4 months ago
Discriminative Training for Near-Synonym Substitution
Near-synonyms are useful knowledge resources for many natural language applications such as query expansion for information retrieval (IR) and paraphrasing for text generation. Ho...
Liang-Chih Yu, Hsiu-Min Shih, Yu-Ling Lai, Jui-Fen...
77
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ACL
1998
14 years 11 months ago
Integration of Large-Scale Linguistic Resources in a Natural Language Understanding System
Knowledge acquisition is a serious bottleneck for natural language understanding systems. For this reason, large-scale linguistic resources have been compiled and made available b...
Lewis M. Norton, Deborah A. Dahl, Li Li, Katharine...
ECIS
2001
14 years 11 months ago
Information markets to improve information value and utilisation
The Internet and Intranet reduce much of the costs of information sharing, but they do not solve receivers' reading and interpretation limitations. Alternatively, browsers an...
Fons Wijnhoven
ER
2006
Springer
112views Database» more  ER 2006»
15 years 1 months ago
An Architecture for Emergent Semantics
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...
Sven Herschel, Ralf Heese, Jens Bleiholder