1 code implementation • 23 Oct 2023 • Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad
Dialogue state tracking (DST) plays an important role in task-oriented dialogue systems.
1 code implementation • 23 Oct 2023 • Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
In this work, we establish a CIT benchmark consisting of learning and evaluation protocols.
1 code implementation • 11 Oct 2023 • Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang
Although large language models (LLMs) are impressive in solving various tasks, they can quickly be outdated after deployment.
1 code implementation • 28 Aug 2023 • Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad
To address the problem, we propose HRGCN, an unsupervised deep heterogeneous graph neural network, to model complex heterogeneous relations between different entities in the system for effectively identifying these anomalous behaviour graphs.
1 code implementation • NAACL 2022 • Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
Recent work incorporates pre-trained word embeddings such as BERT embeddings into Neural Topic Models (NTMs), generating highly coherent topics.