28 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 28 cited
Semi-Supervised Semantic Segmentation with Cross Teacher Training
Hui Xiao, Li Dong, Kangkang Song +4
Convolutional neural networks can achieve remarkable performance in semantic segmentation tasks. However, such neural network approaches heavily rely on costly pixel-level annotati…
cs.IR2021★ 3 cited
A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents
Li Dong, Matthew C. Spencer, Amir Biagi
In the area of customer support, understanding customers' intents is a crucial step. Machine learning plays a vital role in this type of intent classification. In reality, it is ty…
cs.CL2019
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient Adaptation
Xiao Huang, Li Dong, Elizabeth Boschee +1
Named entity recognition (NER) identifies typed entity mentions in raw text. While the task is well-established, there is no universally used tagset: often, datasets are annotated…