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» Semi-Markov Conditional Random Fields for Information Extrac...
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IR
2006
15 years 3 months ago
Table extraction for answer retrieval
The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
Xing Wei, W. Bruce Croft, Andrew McCallum
JMLR
2010
160views more  JMLR 2010»
14 years 10 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
84
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IRI
2008
IEEE
15 years 10 months ago
Result identification for biomedical abstracts using Conditional Random Fields
Ryan T. K. Lin, Hong-Jie Dai, Yue-Yang Bow, Min-Yu...
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
15 years 10 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...