activity
20202022
most citedERGO: Event Relational Graph Transformer for Document-level Event Causality Identification

16 citations · 32 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL202216 cited

ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification

Meiqi Chen, Yixin Cao, Kunquan Deng +4

Document-level Event Causality Identification (DECI) aims to identify causal relations between event pairs in a document. It poses a great challenge of across-sentence reasoning wi…

cs.CL2022

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

Yubo Ma, Zehao Wang, Yixin Cao +4

In this paper, we propose an effective yet efficient model PAIE for both sentence-level and document-level Event Argument Extraction (EAE), which also generalizes well when there i…

cs.CL20213 cited

Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer

Fanchao Qi, Yangyi Chen, Xurui Zhang +3

Adversarial attacks and backdoor attacks are two common security threats that hang over deep learning. Both of them harness task-irrelevant features of data in their implementation…

cs.CL202113 cited

Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger

Fanchao Qi, Mukai Li, Yangyi Chen +4

Backdoor attacks are a kind of insidious security threat against machine learning models. After being injected with a backdoor in training, the victim model will produce adversary-…

cs.CL2020

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks

Fanchao Qi, Yangyi Chen, Mukai Li +3

Backdoor attacks are a kind of emergent training-time threat to deep neural networks (DNNs). They can manipulate the output of DNNs and possess high insidiousness. In the field of…