Schedule
Workshop has ended. All Keynote talk slides are available below. A short summary is available here!!
Workshop is in virtual space (Green Room #2, access through IJCAI Virtual Chair Gather Town) two half-days: August 21 (2 pm – 8:00 pm UTC) and August 22 (6 am – 9:30 am UTC).
2:00 – 2:15 | Welcome & Introduction |
2:15 – 3:00 | Keynote Talk 1: Neuro-symbolic models for understanding complex questions Jonathan Berant abstract slides |
3:00 – 3:45 | Keynote Talk 2: Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation Smaranda Muresan abstract slides |
3:45 – 4:00 | Break |
4:00 – 5:30 | Invited & Contributed Talks
(20 min) How can BERT Understand High-level Semantics? paper (30 min) Can Cognitive Neuroscience inform Neuro-Symbolic Inference Models? paper (30 min) Flexible Operations for Natural Language Deduction paper |
5:30 – 6:15 | Keynote Talk 3: Symbolic Scaffolds for Neural Commonsense Representation and Reasoning Antoine Bosselut abstract slides |
6:15 – 6:55 | Open-Floor Q&A with Keynote and Invited Speakers Host: Dr. Monojit Choudhury |
6:55 – 7:00 | Closing of Session 1 |
Schedule for the second Half-day session on August 22 (6:00 am – 9:30 am UTC).
6:00 – 6:30 | Welcome & Session 1 Summary |
6:30 – 8:30 | Invited and Contributed Talks
(30 min) ProLinguist: Program Synthesis for Linguistics and NLP paper (30 min) Reasoning using DeepProbLog paper (20 mins) Perception, Inference, and Memory: The Trinity of Machine Learning paper (20 min) A Generative-Symbolic Model for Logical Reasoning in NLU paper (20 min) Exploring Multi-hop Reasoning Process in NLU from the View of Bayesian Probability paper |
8:30 – 8:50 | Break |
8:50 – 9:15 | Open-Floor Q&A |
9:15 – 9:30 | Workshop Closing Statement |
Accepted Papers
- A Generative-Symbolic Model for Logical Reasoning in NLU. [Paper]
Jidong Tian, Yitian Li, Wenqing Chen, Hao HE, Yaohui Jin - Exploring Multi-hop Reasoning Process in NLU from the View of Bayesian Probability [Paper]
Yitian Li, Jidong Tian, Hao HE, Yaohui Jin - How can BERT Understand High-level Semantics? [Paper]
Meriem Beloucif, Chris Biemann - Perception, Memory, and Inference: The Trinity of Machine Learning [Paper]
Adam Dahlgren, Johanna Björklund, Frank Drewes - Can Cognitive Neuroscience inform Neuro-Symbolic Inference Models? [Paper]
Shashank Srikant, Una-May O'Reilly
Invited Papers
- ProLinguist: Program Synthesis for Linguistics and NLP [Paper]
Partho Sarthi , Monojit Choudhury*, Arun Iyer*, Suresh Parthasarathy*, Arjun Radhakrishna , Sriram Rajamani - Flexible Operations for Natural Language Deduction [Paper]
Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett - Reasoning using DeepProbLog [Paper]
Robin Manhaeve, Sebastijan Dumančić