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Multi-Task Linear Dependency Modeling for drug-related webpages classification | IEEE Conference Publication | IEEE Xplore

Multi-Task Linear Dependency Modeling for drug-related webpages classification


Abstract:

In this paper, Multi-Task Linear Dependency Modeling is proposed to distinguish drug-related webpages that contain lots of images and text. Linear Dependency Modeling exp...Show More

Abstract:

In this paper, Multi-Task Linear Dependency Modeling is proposed to distinguish drug-related webpages that contain lots of images and text. Linear Dependency Modeling exploits semantic relations between images features and text features, and Multi-Task Learning takes advantage of metadata of webpages. Meaningful information of webpages can be made use of fully to improve classification accuracy. Experimental results show that Multi-Task Linear Dependency Modeling outperforms existing decision level and feature level combination methods and achieves the best performance.
Date of Conference: 10-13 July 2017
Date Added to IEEE Xplore: 14 August 2017
ISBN Information:
Conference Location: Xi'an, China

References

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