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» A Method of Recognizing Entity and Relation
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ECCV
2006
Springer
16 years 1 months ago
Geometry and Kinematics with Uncertain Data
Abstract. In Computer Vision applications, one usually has to work with uncertain data. It is therefore important to be able to deal with uncertain geometry and uncertain transform...
Christian Perwass, Christian Gebken, Gerald Sommer
CIKM
2005
Springer
15 years 5 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan
CVPR
2000
IEEE
16 years 1 months ago
Using Lexical Similarity in Handwritten Word Recognition
Recognition using only visual evidence cannot always be successful due to limitations of information and resources available during training. Considering relation among lexicon en...
Jaehwa Park, Venu Govindaraju
ICML
2001
IEEE
16 years 19 days ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
NAACL
2007
15 years 1 months ago
A Systematic Exploration of the Feature Space for Relation Extraction
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...
Jing Jiang, ChengXiang Zhai