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Zhen Zhang

4 papers hereh-index 4121 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Zhen Zhang — 19 papers, h 15
  • Zhen Zhang — 19 papers, h 2
  • Zhen Zhang — 18 papers, h 8
  • Zhen Zhang — 17 papers, h 17
  • Zhen Zhang — 17 papers, h 8
  • Zhen Zhang — 15 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedUncertainty in Natural Language Processing: Sources, Quantification, and Applications

12 citations · 12 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

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…

cs.CL2023★ 12 cited

Uncertainty in Natural Language Processing: Sources, Quantification, and Applications

Mengting Hu, Zhen Zhang, Shiwan Zhao +2

As a main field of artificial intelligence, natural language processing (NLP) has achieved remarkable success via deep neural networks. Plenty of NLP tasks have been addressed in a…

cs.CL2023

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction

Mengting Hu, Yinhao Bai, Yike Wu +5

Recently, aspect sentiment quad prediction has received widespread attention in the field of aspect-based sentiment analysis. Existing studies extract quadruplets via pre-trained g…

cs.CL2023

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition

Zhen Zhang, Mengting Hu, Shiwan Zhao +6

Most named entity recognition (NER) systems focus on improving model performance, ignoring the need to quantify model uncertainty, which is critical to the reliability of NER syste…

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