Papers with Dialogue-based relation extraction
Graph Based Network with Contextualized Representations of Turns in Dialogue (2021.emnlp-main)
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| Challenge: | Dialogue-based relation extraction (RE) aims to extract relation(s) between two arguments that appear in a dialogue. |
| Approach: | They propose a dialogue-based relation extraction model which is based on emotion recognition in conversations. |
| Outcome: | The proposed model outperforms the state-of-the-art models on most of the benchmark datasets. |
Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label Semantic (2024.lrec-main)
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| Challenge: | Existing methods to determine semantic relation between two arguments in dialogues are limited due to the low information density of text. |
| Approach: | They propose a Knowledge-Enhanced Prompt-Tuning method to enhance DRE model by exploiting trigger and label semantics. |
| Outcome: | The proposed method achieves state-of-the-art in F1 and F1c scores on a DialogRE dataset. |