4 citations · 4 across the 4 of their papers we have counts for
4 papers
Identifying Speakers and Addressees of Quotations in Novels with Prompt Learning
Yuchen Yan, Hanjie Zhao, Senbin Zhu +3
Quotations in literary works, especially novels, are important to create characters, reflect character relationships, and drive plot development. Current research on quotation extr…
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…
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…
Knowledge-injected Prompt Learning for Chinese Biomedical Entity Normalization
Songhua Yang, Chenghao Zhang, Hongfei Xu +1
The Biomedical Entity Normalization (BEN) task aims to align raw, unstructured medical entities to standard entities, thus promoting data coherence and facilitating better downstre…