5 papers
Legal Document Summarization: Enhancing Judicial Efficiency through Automation Detection
Yongjie Li, Ruilin Nong, Jianan Liu +1
Legal document summarization represents a significant advancement towards improving judicial efficiency through the automation of key information detection. Our approach leverages…
Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics
Yongjie Li, Ruilin Nong, Jianan Liu +1
Large language models (LLMs) are revolutionizing the field of education by enabling personalized learning experiences tailored to individual student needs. In this paper, we introd…
Enhancing Coreference Resolution with Pretrained Language Models: Bridging the Gap Between Syntax and Semantics
Xingzu Liu, Songhang deng, Mingbang Wang +4
Large language models have made significant advancements in various natural language processing tasks, including coreference resolution. However, traditional methods often fall sho…
End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systems
Zhang Dong, Songhang deng, Mingbang Wang +4
Large-scale coreference resolution presents a significant challenge in natural language processing, necessitating a balance between efficiency and accuracy. In response to this cha…
Cross-Document Contextual Coreference Resolution in Knowledge Graphs
Zhang Dong, Mingbang Wang, Songhang deng +4
Coreference resolution across multiple documents poses a significant challenge in natural language processing, particularly within the domain of knowledge graphs. This study introd…