Syntactic-Guided Chain of Thought for Iterative Implicit and Explicit Target Detection in Aspect-Based Sentiment Analysis
Prompt engineering is essential for optimizing the performance of large-language models (LLMs), particularly in tasks requiring complex interpretations such as aspect-based sentiment analysis (ABSA). However, existing methodologies often struggle to detect implicit targets, especially in multi-opini...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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IEEE
2025-01-01
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| Schriftenreihe: | IEEE Access |
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| Online-Zugang: | https://ieeexplore.ieee.org/document/10994766/ |
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