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» Intelligent Selection of Language Model Training Data
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145
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WWW
2011
ACM
14 years 9 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
111
Voted
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 2 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
115
Voted
CICLING
2007
Springer
15 years 8 months ago
Dependency Analysis and CBR to Bridge the Generation Gap in Template-Based NLG
The present paper describes how dependency analysis can be used to automatically extract from a corpus a set of cases - and an accompanying vocabulary - which enable a template-bas...
Virginia Francisco, Raquel Hervás, Pablo Ge...
138
Voted
TPHOL
2009
IEEE
15 years 9 months ago
A Formalisation of Smallfoot in HOL
In this paper a general framework for separation logic inside the HOL theorem prover is presented. This framework is based on Abeparation Logic. It contains a model of an abstract,...
Thomas Tuerk
115
Voted
COMPSAC
1999
IEEE
15 years 6 months ago
Dynamic Software Architecture Slicing
As the complexity of software systems increases, so need for a good mechanism of abstraction. architecture design is an abstraction, hiding an immense amount of details about the ...
Taeho Kim, Yeong-Tae Song, Lawrence Chung, Dung T....