WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge

12 May 2020

Papers citing "WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge"

11 / 11 papers shown

Title
Tgea: An error-annotated dataset and benchmark tasks for text generation from pretrained language models Jie He Bo Peng Yi-Lun Liao Qun Liu Deyi Xiong 58 8 0 06 Mar 2025
Generalised Winograd Schema and its Contextuality K. Lo M. Sadrzadeh Shane Mansfield 4 6 0 31 Aug 2023
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs H. Cui Sha Li Yu Zhang Qi Shi 11 1 0 01 Jun 2023
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm Hongming Zhang Yintong Huo Yanai Elazar Yangqiu Song Yoav Goldberg Dan Roth LRM 17 3 0 12 Oct 2022
Can Language Models perform Abductive Commonsense Reasoning? Seung-Kyum Kim ReLM LRM 21 1 0 07 Jul 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation Ruixin Hong Hongming Zhang Xintong Yu Changshui Zhang ReLM LRM 27 32 0 05 May 2022
On the Diversity and Limits of Human Explanations Chenhao Tan 16 31 0 22 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Mohit Bansal ReLM LRM 16 26 0 02 Jun 2021
Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand? William Merrill Yoav Goldberg Roy Schwartz Noah A. Smith 15 67 0 22 Apr 2021
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks Lisa Bauer Mohit Bansal 13 19 0 20 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 17 48 0 20 Mar 2021