Conference Proceedings

Deep Sequence Labelling Model for Information Extraction in Micro Learning Service

J Lin, Z Zhou, G Sun, J Shen, D Pritchard, Tingru Cui, D Xu, L Li, G Beydoun

2020 International Joint Conference on Neural Networks (IJCNN) | IEEE | Published : 2020

Abstract

Micro learning aims to assist users in making good use of smaller chunks of spare time and provides an effective online learning service. However, to provide such personalized online services on the Web, a number of information overload challenges persist. Effectively and precisely mining and extracting valuable information from massive and redundant information is a significant pre-processing procedure for personalizing online services. In this study, we propose a deep sequence labelling model for locating, extracting, and classifying key information for micro learning services. The proposed model is general and combines the advantages of different types of classical neural network. Early e..

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Grants

Awarded by Australian Research Council