5 citations · 6 across the 6 of their papers we have counts for
6 papers
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
Farhad Moghimifar, Shilin Qu, Tongtong Wu +2
Norms, which are culturally accepted guidelines for behaviours, can be integrated into conversational models to generate utterances that are appropriate for the socio-cultural cont…
Continual Multimodal Knowledge Graph Construction
Xiang Chen, Jintian Zhang, Xiaohan Wang +5
Current Multimodal Knowledge Graph Construction (MKGC) models struggle with the real-world dynamism of continuously emerging entities and relations, often succumbing to catastrophi…
Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
Yongrui Chen, Xinnan Guo, Tongtong Wu +3
Conventional text-to-SQL studies are limited to a single task with a fixed-size training and test set. When confronted with a stream of tasks common in real-world applications, exi…
Towards Relation Extraction From Speech
Tongtong Wu, Guitao Wang, Jinming Zhao +4
Relation extraction typically aims to extract semantic relationships between entities from the unstructured text. One of the most essential data sources for relation extraction is…
Feature Selection for Vertex Discriminant Analysis
Alfonso Landeros, Tong Tong Wu, Kenneth Lange
We revisit vertex discriminant analysis (VDA) from the perspective of proximal distance algorithms. By specifying sparsity sets as constraints that directly control the number of a…
Neural Topic Modeling with Deep Mutual Information Estimation
Kang Xu, Xiaoqiu Lu, Yuan-fang Li +5
The emerging neural topic models make topic modeling more easily adaptable and extendable in unsupervised text mining. However, the existing neural topic models is difficult to ret…