Conference Proceedings

Multimodal topic labelling

I Sorodoc, JH Lau, N Aletras, T Baldwin

Unknown | Published : 2017


© 2017 Association for Computational Linguistics. Topics generated by topic models are typically presented as a list of topic terms. Automatic topic labelling is the task of generating a succinct label that summarises the theme or subject of a topic, with the intention of reducing the cognitive load of end-users when interpreting these topics. Traditionally, topic label systems focus on a single label modality, e.g. textual labels. In this work we propose a multimodal approach to topic labelling using a simple feedforward neural network. Given a topic and a candidate image or textual label, our method automatically generates a rating for the label, relative to the topic. Experiments show tha..

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