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Programme

Monday 12th of June
9:00 – 9:30 Registration
9:30-10:30 Invited talk: Marco Baroni “Learning to Generalize by Task Composition”
10:30 -11:00 Coffee break
11:00 – 11:40 Simon Dobnik and John Kelleher “Back to the Future: Logic and Machine Learning”
11:40– 12:20 Robin Cooper “Neural TTR and Possibilities for Learning”
12:20-14:00 Lunch Break
14:00 – 15:00 Invited talk: Alex Clark “Strong Learning of PCFGs: from Logical to Probabilistic Learning”
15:00 – 15:40 Enes Avcu, Chihiro Shibata, and Jeffrey Heinz “Subregular Complexity and Deep Learning”
15:40 – 16:00 Short Coffee Break
16:00 – 16:40 Sara Veldhoen and Willem Zuidema “Can Neural Networks Learn Logical Reasoning?”
16:40 – 17:20 Guy Emerson and Ann Copestake “Variational Inference for Logical Inference”
17:20 – 17:40 Short Coffee Break
17:40 – 18:40 Invited talk: Aarne Ranta "Explainable Machine Translation"

19:00 Bus to the harbour and boat dinner


Tuesday 13th of June
9:30 – 10:30 Invited talk: Devdatt Dubhashi “The Twain Shall Meet: Convex Optimization and First Order Logic for Relation Extraction”
10:30 – 11:00 Coffee Break
11:00 – 11:40 Arash Eshghi, Igor Shalyminov, and Oliver Lemon “Bootstrapping Dialogue  Systems: Using a Semantic Model of Dialogue to Generalise from Minimal Data”
11:40 – 12:20 Asad Sayeed “Towards an Annotation Framework for Incremental Scope Specification Update”
12:20 – 14:00 Lunch Break
14:00 – 15:00 Invited talk: Katrin Erk “One-Shot Learning of Word Meaning with Distributional Models”
15:00 – 15:40 Elisabetta Jezek “Stretching the Meaning of Words”
15:40 – 16:00 fika
16:00 – 17:00 Mehrnoosh Sadrzadeh “Can Distributional Word Representations Benefit from Formal Semantics?”
17:00 – 17:40 Staffan Larsson “Approaches to Compositionality for Perceptual Classification
17:40 – 18:00 Short Coffee Break
18:00 – 19:00 Invited talk: Joakim Nivre “The Logic of Universal Dependencies”
 

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