29 citations · 54 across the 6 of their papers we have counts for
6 papers
A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery
Hanlei Zhang, Hua Xu, Xin Wang +2
New intent discovery is of great value to natural language processing, allowing for a better understanding of user needs and providing friendly services. However, most existing met…
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module
Yihe Liu, Ziqi Yuan, Huisheng Mao +7
Multimodal sentiment analysis (MSA), which supposes to improve text-based sentiment analysis with associated acoustic and visual modalities, is an emerging research area due to its…
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
Zhijing Wu, Hua Xu, Jingliang Fang +1
Continual Machine Reading Comprehension aims to incrementally learn from a continuous data stream across time without access the previous seen data, which is crucial for the develo…
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
Huisheng Mao, Ziqi Yuan, Hua Xu +3
M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It aims to facilitate advanced research by providing flexible toolkits, reliable benchmarks, and intuitive dem…
Consistent Representation Learning for Continual Relation Extraction
Kang Zhao, Hua Xu, Jiangong Yang +1
Continual relation extraction (CRE) aims to continuously train a model on data with new relations while avoiding forgetting old ones. Some previous work has proved that storing a f…
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
Hanlei Zhang, Xiaoteng Li, Hua Xu +3
TEXTOIR is the first integrated and visualized platform for text open intent recognition. It is composed of two main modules: open intent detection and open intent discovery. Each…