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» Why collective inference improves relational classification
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ECML
2006
Springer
15 years 4 months ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
ACL
2011
14 years 4 months ago
In-domain Relation Discovery with Meta-constraints via Posterior Regularization
We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting m...
Harr Chen, Edward Benson, Tahira Naseem, Regina Ba...
107
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CIKM
2009
Springer
15 years 7 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
EMNLP
2009
14 years 10 months ago
Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification
Polarity lexicons have been a valuable resource for sentiment analysis and opinion mining. There are a number of such lexical resources available, but it is often suboptimal to us...
Yejin Choi, Claire Cardie
BMCBI
2005
119views more  BMCBI 2005»
15 years 8 days ago
The distance-profile representation and its application to detection of distantly related protein families
Background: Detecting homology between remotely related protein families is an important problem in computational biology since the biological properties of uncharacterized protei...
Chin-Jen Ku, Golan Yona