4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2024
LaiDA: Linguistics-aware In-context Learning with Data Augmentation for Metaphor Components Identification
Hongde Liu, Chenyuan He, Feiyang Meng +2
Metaphor Components Identification (MCI) contributes to enhancing machine understanding of metaphors, thereby advancing downstream natural language processing tasks. However, the c…
cs.CL2024★ 4 cited
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis
Songhua Yang, Xinke Jiang, Hanjie Zhao +3
Multi-domain aspect-based sentiment analysis (ABSA) seeks to capture fine-grained sentiment across diverse domains. While existing research narrowly focuses on single-domain applic…