OakYU
commented
1 year ago Thanks for your sharing! I appreciate hearing information about natural language reasoning (dataset, conference, and lab) very much! Yes, I'm glad to add the paper to the survey!
14H034160212
Hi Yu,
This is Qiming Bao from the University of Auckland. I am a PhD student working on natural language reasoning. I am interested to see the survey paper "Natural Language Reasoning: A Survey" from your group. Also I am glad our AbductionRules have been collected into the survey. Our Strong AI Lab is also working in natural language reasoning. Here is an another paper from our lab which published on IJCLR-NeSy 2022. It is a new conference that specifically focuses on learning and reasoning and Prof. Zhi-hua Zhou is one of the co-organizers. This paper focused on multi-step deductive reasoning and it proposed a larger deep multi-step deductive reasoning dataset over natural language called PARARULE-PLUS which addresses the reasoning depth imbalance issue for the Ruletaker dataset. I am wondering if you can add this paper into the survey? Thank you very much.
Paper link：https://www.cs.ox.ac.uk/isg/conferences/tmp-proceedings/NeSy2022/paper15.pdf Code：https://github.com/Strong-AI-Lab/Multi-Step-Deductive-Reasoning-Over-Natural-Language Dataset：https://github.com/Strong-AI-Lab/PARARULE-Plus Citation： @inproceedings{bao2022multi, title={Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation}, author={Qiming Bao and Alex Yuxuan Peng and Tim Hartill and Neset Tan and Zhenyun Deng and Michael Witbrock and Jiamou Liu}, year={2022}, publisher={The 2nd International Joint Conference on Learning and Reasoning and 16th International Workshop on Neural-Symbolic Learning and Reasoning (IJCLR-NeSy 2022)} }
Strong AI Lab Lead by Prof. Michael Witbrock who was the leader of the reasoning department in IBM-MIT Waston Lab. -- Strong AI Lab: ai.ac.nz -- GitHub page: github.com/Strong-AI-Lab