Wei Dong

Bridging pre-trained models and downstream tasks for source code understanding

2022 · Proceedings of the 44th International Conference on Software Engineering

With the great success of pre-trained models, the pretrain-then-finetune paradigm has been widely adopted on downstream tasks for source code understanding. However, compared to costly training a large-scale model from scratch, how to effectively adapt …

UA-HGAT: Uncertainty-aware Heterogeneous Graph Attention Network for Short Text Classification

2022 · 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)

During the last decade, deep learning has played a significant role in improving text classification which is widely applied in question answering systems, comment extraction, sentiment analysis, etc. Considering that few labeled training data are …

Modeling Graph Neural Networks and Dynamic Role Sorting for Argument Extraction in Documents

2023 · Applied Sciences

The existing methods for document-level event extraction mainly face two challenges. The first challenge is effectively capturing event information that spans across sentences. The second challenge is using predefined orders to extract event arguments while …