Schedule

Workshop has ended. 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 – 2:15Welcome & Introduction
2:15 – 3:00Keynote Talk 1: Neuro-symbolic models for understanding complex questions
Jonathan Berant
abstract slides
3:00 – 3:45Keynote Talk 2: Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation
Smaranda Muresan
abstract
3:45 – 4:00Break
4:00 – 5:30Invited & 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 – 6:15Keynote Talk 3: Symbolic Scaffolds for Neural Commonsense Representation and Reasoning
Antoine Bosselut
abstract slides
6:15 – 6:55Open-Floor Q&A with Keynote and Invited Speakers
Host: Dr. Monojit Choudhury
6:55 – 7:00Closing of Session 1

Schedule for the second Half-day session on August 22 (6:00 am – 9:30 am UTC).

6:00 – 6:30Welcome & Session 1 Summary
6:30 – 8:30Invited 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 – 8:50Break
8:50 – 9:15Open-Floor Q&A
9:15 – 9:30Workshop 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