5 citations · 25 across the 33 of their papers we have counts for
5 papers · 1 filter
Causal Intervention-based Prompt Debiasing for Event Argument Extraction
Jiaju Lin, Jie Zhou, Qin Chen
Prompt-based methods have become increasingly popular among information extraction tasks, especially in low-data scenarios. By formatting a finetune task into a pre-training object…
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck
Jie Zhou, Qi Zhang, Qin Chen +2
Event argument extraction (EAE) aims to extract arguments with given roles from texts, which have been widely studied in natural language processing. Most previous works have achie…
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction
Jiaju Lin, Qin Chen, Jie Zhou +2
Implicit event argument extraction (EAE) aims to identify arguments that could scatter over the document. Most previous work focuses on learning the direct relations between argume…
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis
Qi Zhang, Jie Zhou, Qin Chen +3
Structured sentiment analysis, which aims to extract the complex semantic structures such as holders, expressions, targets, and polarities, has obtained widespread attention from b…
Enhancing Event-Level Sentiment Analysis with Structured Arguments
Qi Zhang, Jie Zhou, Qin Chen +2
Previous studies about event-level sentiment analysis (SA) usually model the event as a topic, a category or target terms, while the structured arguments (e.g., subject, object, ti…