11 citations · 29 across the 4 of their papers we have counts for
4 papers
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
Wenkai Yang, Lei Li, Zhiyuan Zhang +3
Recent studies have revealed a security threat to natural language processing (NLP) models, called the Backdoor Attack. Victim models can maintain competitive performance on clean…
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge
Tianqing Fang, Hongming Zhang, Weiqi Wang +2
Commonsense knowledge is crucial for artificial intelligence systems to understand natural language. Previous commonsense knowledge acquisition approaches typically rely on human a…
PPKE: Knowledge Representation Learning by Path-based Pre-training
Bin He, Di Zhou, Jing Xie +3
Entities may have complex interactions in a knowledge graph (KG), such as multi-step relationships, which can be viewed as graph contextual information of the entities. Traditional…
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning
Bin He, Xin Jiang, Jinghui Xiao +1
Recent studies on pre-trained language models have demonstrated their ability to capture factual knowledge and applications in knowledge-aware downstream tasks. In this work, we pr…