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Temporal expression extraction with extensive feature type selection and a posteriori label adjustment

Article ID Journal Published Year Pages File Type
10321186 Data & Knowledge Engineering 2015 15 Pages PDF
Abstract
The proposed approach ranked 3rd in the TempEval-3 challenge (task A) as the best performing machine learning-based system among 21 participants.
Keywords
Data miningMining methods and algorithmsText mining
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Preview
Temporal expression extraction with extensive feature type selection and a posteriori label adjustment
Authors
Michele Filannino, Goran Nenadic,
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Data & Knowledge Engineering
Journal: Data & Knowledge Engineering
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