Xue Gu — accepted AI-conference papers

2024

EmoPrompt-ECPE: Emotion Knowledge-aware Prompt-tuning for Emotion-Cause Pair Extraction

Xue Gu, Zhihan Zhou, Ziyao Meng, Jian Li, Tiago Gomes, Adriano Tavares +1

COLING 2024main

Emotion-cause pair extraction (ECPE) main focus is on extracting all potential emotion clauses and corresponding cause clauses from unannotated documents. Existing methods achieve promising results with the help of fine-tuning and prompt paradigms, but they present three downsides. First, most appro…

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2024

POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment

Zhihan Zhou, Xue Gu, Yujie Zhao, Hao Xu

ACL 2024findings

The objective of the Causal Emotion Entailment (CEE) task is to identify the causes of the target emotional utterances in a given conversation. Most existing studies have focused on a fine-tuning paradigm based on a pretrained model, e.g., the BERT model. However, there are gaps between the pretrain…

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