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» Document Summarization Using Conditional Random Fields
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AAAI
2004
13 years 6 months ago
Interactive Information Extraction with Constrained Conditional Random Fields
Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have...
Trausti T. Kristjansson, Aron Culotta, Paul A. Vio...
SIGIR
2008
ACM
13 years 5 months ago
Multi-document summarization using cluster-based link analysis
The Markov Random Walk model has been recently exploited for multi-document summarization by making use of the link relationships between sentences in the document set, under the ...
Xiaojun Wan, Jianwu Yang
ICDAR
2009
IEEE
14 years 10 hour ago
Text Localization in Natural Scene Images Based on Conditional Random Field
This paper proposes a novel hybrid method to robustly and accurately localize texts in natural scene images. A text region detector is designed to generate a text confidence map,...
Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
ICASSP
2008
IEEE
13 years 11 months ago
Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptatio
This paper shows how to improve Hidden Conditional Random Fields (HCRFs) for phone classification by applying various speaker adaptation techniques. These include Maximum A Poste...
Yun-Hsuan Sung, Constantinos Boulis, Daniel Jurafs...
ICCV
2005
IEEE
14 years 7 months ago
Scale-Invariant Contour Completion Using Conditional Random Fields
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik