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» Learning to Align: A Statistical Approach
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NAACL
2003
15 years 5 months ago
Cooperative model-based language understanding
In this paper, we propose a novel Cooperative Model for natural language understanding in a dialogue system. We build this based on both Finite State Model (FSM) and Statistical L...
Donghui Feng
144
Voted
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 4 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
129
Voted
CVPR
2005
IEEE
16 years 5 months ago
Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras
This paper proposes a novel method for matching road vehicles between two non-overlapping cameras. The matching problem is formulated as a same-different classification problem: p...
Ying Shan, Harpreet S. Sawhney, Rakesh Kumar
134
Voted
SEMWEB
2009
Springer
15 years 10 months ago
Actively Learning Ontology Matching via User Interaction
Ontology matching plays a key role for semantic interoperability. Many methods have been proposed for automatically finding the alignment between heterogeneous ontologies. However...
Feng Shi, Juanzi Li, Jie Tang, Guo Tong Xie, Hanyu...
142
Voted
SIGIR
1999
ACM
15 years 8 months ago
Information Retrieval as Statistical Translation
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Adam L. Berger, John D. Lafferty