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» The TSIMMIS Approach to Mediation: Data Models and Languages
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IJCNLP
2005
Springer
15 years 3 months ago
Regularisation Techniques for Conditional Random Fields: Parameterised Versus Parameter-Free
Recent work on Conditional Random Fields (CRFs) has demonstrated the need for regularisation when applying these models to real-world NLP data sets. Conventional approaches to regu...
Andrew Smith, Miles Osborne
LREC
2010
155views Education» more  LREC 2010»
14 years 11 months ago
A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
Grzegorz Chrupala, Dietrich Klakow
SSD
1997
Springer
103views Database» more  SSD 1997»
15 years 1 months ago
Vague Regions
Abstract: In many geographical applications there is a need to model spatial phenomena not simply by sharp objects but rather through indeterminate or vague concepts. To support su...
Martin Erwig, Markus Schneider
IJCAI
1997
14 years 11 months ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip
ECOOP
2011
Springer
13 years 9 months ago
Frequency Estimation of Virtual Call Targets for Object-Oriented Programs
Abstract. The information of execution frequencies of virtual call targets is valuable for program analyses and optimizations of object-oriented programs. However, to obtain this i...
Cheng Zhang, Hao Xu, Sai Zhang, Jianjun Zhao, Yuti...