A four-agent LLM pipeline decomposes aspect-sentiment triplet extraction into sequential subtasks, outperforming zero-shot baselines on four benchmarks without labeled training data.
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MASTE: A Multi-Agent Pipeline for Zero-Shot Aspect Sentiment Triplet Extraction
A four-agent LLM pipeline decomposes aspect-sentiment triplet extraction into sequential subtasks, outperforming zero-shot baselines on four benchmarks without labeled training data.