23 citations · 26 across the 3 of their papers we have counts for
5 papers · 1 filter
Cross-domain Named Entity Recognition via Graph Matching
Junhao Zheng, Haibin Chen, Qianli Ma
Cross-domain NER is a practical yet challenging problem since the data scarcity in the real-world scenario. A common practice is first to learn a NER model in a rich-resource gener…
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
Junhao Zheng, Qianli Ma, Shengjie Qiu +6
Fine-tuning has been proven to be a simple and effective technique to transfer the learned knowledge of Pre-trained Language Models (PLMs) to downstream tasks. However, vanilla fin…
Perturbation-based Self-supervised Attention for Attention Bias in Text Classification
Huawen Feng, Zhenxi Lin, Qianli Ma
In text classification, the traditional attention mechanisms usually focus too much on frequent words, and need extensive labeled data in order to learn. This paper proposes a pert…
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
Junlong Liu, Xichen Shang, Qianli Ma
Emotion-cause pair extraction (ECPE) aims to extract emotion clauses and corresponding cause clauses, which have recently received growing attention. Previous methods sequentially…
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
Junhao Zheng, Zhanxian Liang, Haibin Chen +1
Continual Learning for Named Entity Recognition (CL-NER) aims to learn a growing number of entity types over time from a stream of data. However, simply learning Other-Class in the…