Inter-sentence Context Modeling and Structure-aware Representation Enhancement for Conversational Sentiment Quadruple Extraction (2025.emnlp-main)
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| Challenge: | Existing studies struggle to capture complete dialogue semantics due to inadequate inter-utterance modeling and the underutilization of dialogue structure. |
| Approach: | They propose a model to extract dialogue aspect sentiment quadruples from dialogues using a sentence-by-sentence encoding module. |
| Outcome: | The proposed model extracts quadruples of target-aspect-opinion-sentiment from dialogues. |
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