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Hao Peng

4 papers hereh-index 373 citations10 works total

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

author position
  • middle author4

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

fields
  • cs.CL4
same name
  • Hao Peng — 42 papers, h 37
  • Hao Peng — 32 papers, h 25
  • Hao Peng — 26 papers, h 20
  • Hao Peng — 23 papers, h 10
  • Hao Peng — 19 papers
  • Hao Peng — 11 papers, h 10

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 citedRDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation

Kun Peng, Cong Cao, Hao Peng +5

Current Emotion Recognition in Conversation (ERC) research follows a closed-domain assumption. However, there is no clear consensus on emotion classification in psychology, which p…

cs.CL2025

Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning

Kun Peng, Cong Cao, Hao Peng +5

Dialogues Aspect-based Sentiment Quadruple Extraction (DiaASQ) aims to extract all target-aspect-opinion-sentiment quadruples from a given multi-round, multi-participant dialogue.…

cs.CL2025

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction

Kun Peng, Chaodong Tong, Cong Cao +6

Aspect sentiment triplet extraction (ASTE) aims to extract triplets composed of aspect terms, opinion terms, and sentiment polarities from given sentences. The table tagging method…

cs.CL2023★ 2 cited

RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis

Xusheng Zhao, Hao Peng, Qiong Dai +5

Aspect-based sentiment analysis (ABSA) is dedicated to forecasting the sentiment polarity of aspect terms within sentences. Employing graph neural networks to capture structural pa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.