Sino-German Symposium GZ1607

October 22

08:30 - 08:50 Session 1: Opening Ceremony Welcome Oration, Officers from NSFC-DFG, Prof. Maosong Sun, Prof. Armin B. Cremers Chair: Juanzi Li (Tsinghua University)

08:50 - 09:40 Session 2 Keynote 'Thinking with the Mind and the World' by Barbara Tversky (Stanford University and Columbia University Teachers Colleges) Chair: Tiansi Dong (Universität Bonn)

09:40 - 10:30 Session 3 Keynote 'Knowledge and Artificial Intelligence' by Bo Zhang (Tsinghua University) Chair: Juanzi Li (Tsinghua University)

10:30 - 11:00 Photo Taking and Coffee Break

11:00 - 12:30 Session 4: Knowledge and Language 1 Chair: Achim Rettinger (Universität Trier) Learning Taxonomies of Concepts from Contextualized Word Embeddings (Steffen Staab, Universität Koblenz) Representation Learning for Complex Words and Phrases (Erhard Hinrichs, University of Tuebingen) Towards a Unified Semantic Embedding Space: Joint Representation Learning of Cross-lingual Words and Entities (Juanzi Li, Tsinghua University) Knowledge-Guided Natural Language Processing (Zhiyuan Liu, Tsinghua University)

12:30 - 14:00 Lunch Break

14:00 - 15:40 Session 5: Knowledge Linking and Reasoning Chair: Tiansi Dong (Universität Bonn) Symbolic and Sub-symbolic Approaches to Intertextuality (Alexander Mehler, Goethe-Universität Frankfurt am Main) Embedding-based Entity Alignment for Knowledge Graphs (Wei Hu, Nanjing University) Differentiable Reasoning with Knowledge Graphs: Explanations and Sparsity (Huajun Chen, Zhejiang University) Revisiting Name Disambiguation (Jing Zhang, Renmin University of China) Triadic Closure Pattern Analysis and Prediction in Online Social Networks (Xiaoming Fu, Universität Göttingenn)

15:40 - 16:00 Coffee Break

16:00 - 18:00 Session 6: Taxonomy Representation and Learning Chair: Alexander Mehler (Goethe-Universität Frankfurt am Main) Schema Induction on Knowledge Graphs under Open World Assumption (Guilin Qi, Southeast University) Generating Relational Facts from Texts by an End-to-End Neural Model (Kang Liu, Institute of Automation@CAS) Geometric Connectionist Machine for Symbol Spatializing (Tiansi Dong, Universität Bonn)

18:00 - 20:30 -- Dinner --

October 23

09:00 - 09:50 Session 7 Keynote 'What Commonsense a Computer Needs to Know About Humor?' by Christian F. Hempelmann (Texas A&M University) Chair: Armin B. Cremers (Universität Bonn)

09:50 - 10:40 Session 8 Keynote 'Machine Reasoning: Connecting Knowledge and Pre-trained Models for Better Natural Language Understanding' by Ming Zhou (Microsoft Research Asia) Chair: Jun Zhao (Institute of Automation@CAS)

10:40 - 11:00 Coffee Break

11:00 - 12:30 Session 9: Knowledge and Language 2 Chair: Zhiyuan Liu, Tsinghua University Towards Interpretable, Knowledge-Guided and Robust Neural Machine Translation (Yang Liu, Tsinghua Universit) Towards Imposing Perception Structures on Concept Embeddings (Achim Rettinger, Universität Trier Knowledge-based Language Understanding and Reasoning (Xianpei Han, Institute of Software@CAS) Symbol Constrained Neural Text Generation (Qun Liu, Huawei Noah’s Ark Lab)

12:30 - 14:00 Lunch Break

14:00 - 15:40 Session 10: Cognition and Knowledge Chair: Pascal Welke (Universität Bonn) Cognitive Architecture and Creative Problem Solving: A Computational Perspective (Ron Sun, Rensselaer Polytechnic Institute) Cognitive Graph for Understanding, Reasoning, and Decision (Jie Tang, Tsinghua University) Knowledge-based Natural Answer Generation with an End-to-End Copy-Augmented Sequence-to-Sequence Model (Shizhu He, Institute of Software@CAS) Deep X: Deep Learning with Deep Knowledge (Volker Tresp, LMU München) Quantum Machine Learning for Knowledge Graphs (Yunpu Ma, LMU München)

15:40 - 16:00 Coffee Break

16:00 - 18:00 Session 11: Knowledge and Language 3 Chair: Xianpei Han (Institute of Software@CAS) Chinese Deep Semantic Representation and Resource Construction (Zhifang Sui, Peking University) Humor Corpus Construction and Humor Recognition (Hongfei Lin, Dalian University of Technology) German and Chinese Text Jokes – Why Foreign Text Jokes are Hard to Understand? (Peiling Cui, Universität Bonn) Chinese NER with Height-Limited Constituent Parsing (Xin Xin, Beijing Institute of Technology) Knowledge Graph Completion by Inference from Both Relational and Literal Facts (Zhichun Wang,, Beijing Normal University) Incorporating Knowledge Graphs into Text Classification - From Supervised to Unsupervised Learning (Lei Zhang, FIZ Karlsruhe)

18:00 - 20:30 -- Dinner --

October 25