4 papers
Boosting Commit Classification with Contrastive Learning
Jiajun Tong, Zhixiao Wang, Xiaobin Rui
Commit Classification (CC) is an important task in software maintenance, which helps software developers classify code changes into different types according to their nature and pu…
Incorprating Prompt tuning for Commit classification with prior Knowledge
Jiajun Tong, Xiaobin Rui
Commit Classification(CC) is an important task in software maintenance since it helps software developers classify code changes into different types according to their nature and p…
A topic-aware graph neural network model for knowledge base updating
Jiajun Tong, Zhixiao Wang, Xiaobin Rui
The open domain knowledge base is very important. It is usually extracted from encyclopedia websites and is widely used in knowledge retrieval systems, question answering systems,…
A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set
Jiajun Tong, Zhixiao Wang, Xiaobin Rui
Text classification plays an important role in many practical applications. In the real world, there are extremely small datasets. Most existing methods adopt pre-trained neural ne…