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» Learning aspect models with partially labeled data
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CIKM
2007
Springer
15 years 10 months ago
Developing learning strategies for topic-based summarization
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
Ouyang You, Sujian Li, Wenjie Li
119
Voted
ACL
2009
15 years 1 months ago
DEPEVAL(summ): Dependency-based Evaluation for Automatic Summaries
This paper presents DEPEVAL(summ), a dependency-based metric for automatic evaluation of summaries. Using a reranking parser and a Lexical-Functional Grammar (LFG) annotation, we ...
Karolina Owczarzak
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 6 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
COLT
2006
Springer
15 years 7 months ago
Teaching Randomized Learners
Abstract. The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the infl...
Frank J. Balbach, Thomas Zeugmann
AAAI
2012
13 years 6 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing