no code implementations • ACL 2021 • Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh
The dynamic nature of commonsense knowledge postulates models capable of performing multi-hop reasoning over new situations.
1 code implementation • ALTA 2020 • Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh
Our experiments on four different benchmark causality datasets demonstrate the superiority of our approach over the existing baselines, by up to 7% improvement, on the tasks of identification and localisation of the causal relations from the text.
no code implementations • ALTA 2020 • Farhad Moghimifar, Afshin Rahimi, Mahsa Baktashmotlagh, Xue Li
Causal relationships form the basis for reasoning and decision-making in Artificial Intelligence systems.
1 code implementation • COLING 2020 • Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari
However, current approaches in this realm lack the ability to perform commonsense reasoning upon facing an unseen situation, mostly due to incapability of identifying a diverse range of implicit social relations.