no code implementations • LREC 2022 • Erik Cambria, Qian Liu, Sergio Decherchi, Frank Xing, Kenneth Kwok
In recent years, AI research has demonstrated enormous potential for the benefit of humanity and society.
no code implementations • 30 Nov 2022 • Shantanu Jaiswal, Liu Yan, Dongkyu Choi, Kenneth Kwok
Our resulting knowledge representation framework can encode a wider variety of world knowledge and represent beliefs flexibly using grounded concepts as well as free-text phrases.
no code implementations • 1 Oct 2021 • Ying Siu Liang, Chen Zhang, Dongkyu Choi, Kenneth Kwok
Finally, we evaluate the usability of our approach in real-world applications by conducting qualitative experiments with two Universal Robots (UR5 and UR16e) in both lab and industrial settings.
no code implementations • 7 Jul 2021 • Ying Siu Liang, Dongkyu Choi, Kenneth Kwok
In this paper, we present a model for action-aware perceptual anchoring that enables robots to track objects in a persistent manner.
no code implementations • WS 2019 • Aliaks Huminski, R, Yan Bin Ng, Kenneth Kwok, Francis Bond
Natural language communication between machines and humans are still constrained.
no code implementations • ACL 2019 • Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok
We propose a new neural transfer method termed Dual Adversarial Transfer Network (DATNet) for addressing low-resource Named Entity Recognition (NER).
no code implementations • ICLR 2019 • Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Rick Siow Mong Goh, Kenneth Kwok
We propose a new architecture termed Dual Adversarial Transfer Network (DATNet) for addressing low-resource Named Entity Recognition (NER).
Low Resource Named Entity Recognition named-entity-recognition +2