Papers by Puli Chen
Can ChatGPT’s Performance be Improved on Verb Metaphor Detection Tasks? Bootstrapping and Combining Tacit Knowledge (2024.acl-long)
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| Challenge: | Existing methods for supervised metaphor detection are limited by their performance. |
| Approach: | They propose to use ChatGPT to detect most prevalent verb metaphors among metaphors . they use literal collocations of target verbs and subject-object pairs of verbs to detect them . |
| Outcome: | The proposed method achieves the best performance on the unsupervised verb metaphors detection task compared to existing unsupervised methods or direct prediction using ChatGPT. |
Merely Judging Metaphor is Not Enough: Research on Reasonable Metaphor Detection (2024.findings-emnlp)
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| Challenge: | Current metaphor detection tasks only provide labels without interpreting how to understand them. |
| Approach: | They propose to improve the current metaphor detection task by using mainstream Large Language Models. |
| Outcome: | The proposed model is based on the original sentence, target word, and usage . the model is then evaluated using manual evaluation . |
DAGS: A Dependency-Based Dual-Attention and Global Semantic Improvement Framework for Metaphor Recognition (2025.findings-acl)
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| Challenge: | Existing methods for metaphor recognition ignore interference caused by literal annotations . et al., 2018: Metaphor recognition plays an important role in cognition and communication . |
| Approach: | They propose a dependency-based Dual-Attention and Global Semantic Improvement framework to improve metaphor recognition. |
| Outcome: | The proposed framework can extract features from multiple information sources while improving on mainstream metaphor datasets. |