D-REX: Dialogue Relation Extraction with Explanations
Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang
Abstract
Existing research studies on cross-sentence relation extraction in long-form multi-party conversations aim to improve relation extraction without considering the explainability of such methods. This work addresses that gap by focusing on extracting explanations that indicate that a relation exists while using only partially labeled explanations. We propose our model-agnostic framework, D-REX, a policy-guided semi-supervised algorithm that optimizes for explanation quality and relation extraction simultaneously. We frame relation extraction as a re-ranking task and include relation- and entity-specific explanations as an intermediate step of the inference process. We find that human annotators are 4.2 times more likely to prefer D-REX’s explanations over a joint relation extraction and explanation model. Finally, our evaluations show that D-REX is simple yet effective and improves relation extraction performance of strong baseline models by 1.2-4.7%.- Anthology ID:
- 2022.nlp4convai-1.4
- Volume:
- Proceedings of the 4th Workshop on NLP for Conversational AI
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Bing Liu, Alexandros Papangelis, Stefan Ultes, Abhinav Rastogi, Yun-Nung Chen, Georgios Spithourakis, Elnaz Nouri, Weiyan Shi
- Venue:
- NLP4ConvAI
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 34–46
- Language:
- URL:
- https://aclanthology.org/2022.nlp4convai-1.4
- DOI:
- 10.18653/v1/2022.nlp4convai-1.4
- Cite (ACL):
- Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, and William Yang Wang. 2022. D-REX: Dialogue Relation Extraction with Explanations. In Proceedings of the 4th Workshop on NLP for Conversational AI, pages 34–46, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- D-REX: Dialogue Relation Extraction with Explanations (Albalak et al., NLP4ConvAI 2022)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2022.nlp4convai-1.4.pdf
- Code
- alon-albalak/D-REX
- Data
- DialogRE