We propose a novel attention network for document annotation with user-generated tags. The network is designed according to the human reading and annotation behaviour. Usually, users try to digest the title and obtain a rough idea about the topic first, and then read the content of the document. Present research shows that the title metadata could largely affect the social annotation. To better utilise this information, we design a framework that separates the title from the content of a document and apply a title-guided attention mechanism over each sentence in the content. We also propose two semanticbased loss regularisers that enforce the output of the network to conform to label semantics, i.e. similarity and subsumption. We analyse each part of the proposed system with two real-world open datasets on publication and question annotation. The integrated approach, Joint Multi-label Attention Network (JMAN), significantly outperformed the Bidirectional Gated Recurrent Unit (Bi-GRU) by around 13%-26% and the Hierarchical Attention Network (HAN) by around 4%-12% on both datasets, with around 10%-30% reduction of training time.
J. Mueller, S. Doerfel, M. Becker, A. Hotho, и G. Stumme. Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013) Hong Kong, China, October 13, 2013., 1066, CEUR-WS, (2013)
J. Mueller, S. Doerfel, M. Becker, A. Hotho, и G. Stumme. Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013) Hong Kong, China, October 13, 2013., 1066, CEUR-WS, (2013)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)