3 citations · 6 across the 6 of their papers we have counts for
6 papers
A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation
Li Liu, Lufei Gao, Wentao Lei +3
Body language (BL) refers to the non-verbal communication expressed through physical movements, gestures, facial expressions, and postures. It is a form of communication that conve…
Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion
Yun Luo, Xiaotian Lin, Zhen Yang +3
Task-incremental continual learning refers to continually training a model in a sequence of tasks while overcoming the problem of catastrophic forgetting (CF). The issue arrives fo…
How to choose "Good" Samples for Text Data Augmentation
Xiaotian Lin, Nankai Lin, Yingwen Fu +2
Deep learning-based text classification models need abundant labeled data to obtain competitive performance. Unfortunately, annotating large-size corpus is time-consuming and labor…
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction
Nankai Lin, Xiaotian Lin, Ziyu Yang +1
As a fundamental task in natural language processing, Chinese Grammatical Error Correction (CGEC) has gradually received widespread attention and become a research hotspot. However…
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis
Nankai Lin, Yingwen Fu, Xiaotian Lin +2
As an extensive research in the field of natural language processing (NLP), aspect-based sentiment analysis (ABSA) is the task of predicting the sentiment expressed in a text relat…
Multilingual Text Classification for Dravidian Languages
Xiaotian Lin, Nankai Lin, Kanoksak Wattanachote +2
As the fourth largest language family in the world, the Dravidian languages have become a research hotspot in natural language processing (NLP). Although the Dravidian languages co…