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.
A. Plangprasopchok, K. Lerman, and L. Getoor. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 949--958. New York, NY, USA, ACM, (2010)
D. Benz, B. Krause, G. Kumar, A. Hotho, and G. Stumme. Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009), Bled, Slovenia, (September 2009)
C. Cattuto, D. Benz, A. Hotho, and G. Stumme. Proc. Intl. Semantic Web Conference, volume 5318 of LNAI, page 615--631. Berlin/Heidelberg, Springer, (2008)
D. Benz, B. Krause, G. Kumar, A. Hotho, and G. Stumme. Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009), Bled, Slovenia, (September 2009)
C. Cattuto, D. Benz, A. Hotho, and G. Stumme. Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3), page 39--43. Patras, Greece, (July 2008)
S. Oldenburg, M. Garbe, and C. Cap. SSM '08: Proceeding of the 2008 ACM Workshop on Search in Social Media, page 11--18. New York, NY, USA, ACM, (October 2008)
S. Oldenburg, M. Garbe, and C. Cap. SSM '08: Proceeding of the 2008 ACM Workshop on Search in Social Media, page 11--18. New York, NY, USA, ACM, (October 2008)
C. Cattuto, D. Benz, A. Hotho, and G. Stumme. The Semantic Web - ISWC 2008, Proc.Intl. Semantic Web Conference 2008, volume 5318 of LNAI, page 615--631. Heidelberg, Springer, (2008)