1 code implementation • EMNLP 2018 • Shaohua Yang, Qiaozi Gao, Sari Sadiya, Joyce Chai
To enable collaboration and communication between humans and agents, this paper investigates learning to acquire commonsense evidence for action justification.
no code implementations • ACL 2018 • Qiaozi Gao, Shaohua Yang, Joyce Chai, V, Lucy erwende
Despite recent advances in knowledge representation, automated reasoning, and machine learning, artificial agents still lack the ability to understand basic action-effect relations regarding the physical world, for example, the action of cutting a cucumber most likely leads to the state where the cucumber is broken apart into smaller pieces.
no code implementations • 11 Jan 2018 • Anu Venkatesh, Chandra Khatri, Ashwin Ram, Fenfei Guo, Raefer Gabriel, Ashish Nagar, Rohit Prasad, Ming Cheng, Behnam Hedayatnia, Angeliki Metallinou, Rahul Goel, Shaohua Yang, Anirudh Raju
In this paper, we propose a comprehensive evaluation strategy with multiple metrics designed to reduce subjectivity by selecting metrics which correlate well with human judgement.
no code implementations • LREC 2012 • Shaohua Yang, Hai Zhao, Xiaolin Wang, Bao-liang Lu
This paper presents some novel results on Chinese spell checking.