1 code implementation • Findings (ACL) 2022 • Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang
Our proposed method allows a single transformer model to directly walk on a large-scale knowledge graph to generate responses.
no code implementations • ECNLP (ACL) 2022 • Sajjad Beygi, Maryam Fazel-Zarandi, Alessandra Cervone, Prakash Krishnan, Siddhartha Reddy Jonnalagadda
We observe that transformer based models such as UnifiedQA-T5 can be fine-tuned to perform logical reasoning (such as numerical and categorical attributes' comparison) over attributes that been seen in training time (e. g., accuracy of 90\%+ for comparison of smaller than $k_{\max}$=5 values over heldout test dataset).