most citedLinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024

Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion

Rui Ying, Mengting Hu, Jianfeng Wu +7

Temporal knowledge graph completion aims to infer the missing facts in temporal knowledge graphs. Current approaches usually embed factual knowledge into continuous vector space an…

cs.CL2024

BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction

Yinhao Bai, Yalan Xie, Xiaoyi Liu +5

Aspect sentiment quad prediction (ASQP) aims to predict four aspect-based elements, including aspect term, opinion term, aspect category, and sentiment polarity. In practice, unsee…

cs.CV2024

Minimize Quantization Output Error with Bias Compensation

Cheng Gong, Haoshuai Zheng, Mengting Hu +4

Quantization is a promising method that reduces memory usage and computational intensity of Deep Neural Networks (DNNs), but it often leads to significant output error that hinder…

cs.CL2024★ 3 cited

LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty

Zhen Zhang, Yuhua Zhao, Hang Gao +1

Named Entity Recognition (NER) serves as a fundamental task in natural language understanding, bearing direct implications for web content analysis, search engines, and information…

cs.CL2023

Coreference Graph Guidance for Mind-Map Generation

Zhuowei Zhang, Mengting Hu, Yinhao Bai +1

Mind-map generation aims to process a document into a hierarchical structure to show its central idea and branches. Such a manner is more conducive to understanding the logic and s…