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» Why collective inference improves relational classification
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ECML
2006
Springer
15 years 8 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 8 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...
CIKM
2009
Springer
15 years 11 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
15 years 2 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 4 months 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