16 citations · 18 across the 4 of their papers we have counts for
5 papers
Dialogue-Based Multi-Dimensional Relationship Extraction from Novels
Yuchen Yan, Hanjie Zhao, Senbin Zhu +3
Relation extraction is a crucial task in natural language processing, with broad applications in knowledge graph construction and literary analysis. However, the complex context an…
SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis
Senbin Zhu, Chenyuan He, Hongde Liu +6
In recent years, fine-grained sentiment analysis in finance has gained significant attention, but the scarcity of entity-level datasets remains a key challenge. To address this, we…
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…
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning
Senbin Zhu, Hanjie Zhao, Xingren Wang +3
The DimABSA task requires fine-grained sentiment intensity prediction for restaurant reviews, including scores for Valence and Arousal dimensions for each Aspect Term. In this stud…
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue
Songhua Yang, Hanjie Zhao, Senbin Zhu +4
Recent advances in Large Language Models (LLMs) have achieved remarkable breakthroughs in understanding and responding to user intents. However, their performance lag behind genera…