Call for Papers

Given that the main aim of this workshop is to identify new application areas for XMLC, we propose topics that are aligned with this goal along with other topics in this area.

• New applications of XMLC: social media events, hashtags detection e.g., Twitter moments, e-commerce, multi-lingual XMLC
• Structured XMLC: knowledge graph/taxonomy, events as labels: temporally structured events, spatially similar events
• Incremental inclusion of new labels and training data: zero shot learning, pre- and post-training, active Learning
• Multitask multilabel learning: transfer learning; semi-supervised learning
• Computational aspects of XMLC: log-time and log-space prediction, model and computation parallelization
• Bayesian models for XMLC: generative models for XMLC, tackling label polysemy, synonymy and correlations.
• Deep XMLC: neural models for XMLC
• Evaluation for XMLC: novel metrics for XMLC evaluation
• Feature extraction, feature engineering for XMLC

The submission information can be found here.