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Hanxuan Yang

2 accepted papers

2023

Cross-Lingual Cross-Target Stance Detection with Dual Knowledge Distillation Framework

EMNLP 2023long main

Stance detection aims to identify the user’s attitude toward specific \textit{targets} from text, which is an important research area in text mining and benefits a variety of application domains. Existing studies on stance detection were conducted mainly in English. Due to the low-resource problem i…

Cited by 0SourceScholar
2023

Target-Oriented Relation Alignment for Cross-Lingual Stance Detection

ACL 2023findings

Stance detection is an important task in text mining and social media analytics, aiming to automatically identify the user’s attitude toward a specific target from text, and has wide applications in a variety of domains. Previous work on stance detection has mainly focused on monolingual setting. To…

Cited by 2SourcePDFScholar