15 citations · 31 across the 6 of their papers we have counts for
6 papers
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
Heng Yang, Ke Li
Recent studies have revealed the vulnerability of pre-trained language models to adversarial attacks. Existing adversarial defense techniques attempt to reconstruct adversarial exa…
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
Heng Yang, Ke Li
Text augmentation is an effective technique for addressing the problem of insufficient data in natural language processing. However, existing text augmentation methods tend to focu…
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
Heng Yang, Chen Zhang, Ke Li
The advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA…
LSA: Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation
Heng Yang, Ke Li
Aspect sentiment coherency is an intriguing yet underexplored topic in the field of aspect-based sentiment classification. This concept reflects the common pattern where adjacent a…
Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding
Heng Yang, Biqing Zeng
Target-oriented sentiment classification is a fine-grained task of natural language processing to analyze the sentiment polarity of the targets. To improve the performance of senti…
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
Heng Yang, Biqing Zeng, JianHao Yang +2
Aspect-based sentiment analysis (ABSA) task is a multi-grained task of natural language processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity cl…