Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Natural language processing, Lexicon, Named-entity recognition, and Classifier (UML).
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling
Simplify the Usage of Lexicon in Chinese NER
A Lexicon-Based Graph Neural Network for Chinese NER
Trainable Undersampling for Class-Imbalance Learning
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection
Cross-Domain Sentiment Classification with Target Domain Specific Information
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks