3 papers
cs.CL2023
S2vNTM: Semi-supervised vMF Neural Topic Modeling
Weijie Xu, Jay Desai, Srinivasan Sengamedu +2
Language model based methods are powerful techniques for text classification. However, the models have several shortcomings. (1) It is difficult to integrate human knowledge such a…
cs.CL2023
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
Weijie Xu, Xiaoyu Jiang, Jay Desai +3
In text classification tasks, fine tuning pretrained language models like BERT and GPT-3 yields competitive accuracy; however, both methods require pretraining on large text datase…
cs.LG2023
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport
Weijie Xu, Xiaoyu Jiang, Srinivasan H. Sengamedu +2
Recently, Neural Topic Models (NTM), inspired by variational autoencoders, have attracted a lot of research interest; however, these methods have limited applications in the real w…