Fast and Robust Wrapper Method for $N$ -gram Feature Template Induction in Structured Prediction

Fast and Robust Wrapper Method for $N$ -gram Feature Template Induction in Structured Prediction

N-gram feature templates that consider consecutive contextual information comprise a family of important feature templates used in structured prediction. Some previous studies considered the n-gram feature selection problem but they focused on one or several types of features in certain tasks, e.g.,...

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Bibliographic Details
Main Authors: Yulin Ren, Dehua Li
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Feature induction
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">n</italic>-gram feature template
structured prediction
Online Access:https://ieeexplore.ieee.org/document/8039501/

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https://ieeexplore.ieee.org/document/8039501/

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