4 papers
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
Lequan Lin, Dai Shi, Andi Han +7
Supervised learning relies on high-quality labeled data, but obtaining such data through human annotation is both expensive and time-consuming. Recent work explores using large lan…
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…