Abstract
Existing discourse corpora are annotated based on different frameworks, which show significant dissimilarities in definitions of arguments and relations and structural constraints. Despite surface differences, these frameworks share basic understandings of discourse relations. The relationship between these frameworks has been an open research question, especially the correlation between relation inventories utilized in different frameworks. Better understanding of this question is helpful for integrating discourse theories and enabling interoperability of discourse corpora annotated under different frameworks. However, studies that explore correlations between discourse relation inventories are hindered by different criteria of discourse segmentation, and expert knowledge and manual examination are typically needed. Some semi-automatic methods have been proposed, but they rely on corpora annotated in multiple frameworks in parallel. In this paper, we introduce a fully automatic approach to address the challenges. Specifically, we extend the label-anchored contrastive learning method introduced by Zhang et al. (2022b) to learn label embeddings during discourse relation classification. These embeddings are then utilized to map discourse relations from different frameworks. We show experimental results on RST-DT (Carlson et al., 2001) and PDTB 3.0 (Prasad et al., 2018).- Anthology ID:
- 2024.isa-1.4
- Volume:
- Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Harry Bunt, Nancy Ide, Kiyong Lee, Volha Petukhova, James Pustejovsky, Laurent Romary
- Venues:
- ISA | WS
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 27–38
- Language:
- URL:
- https://aclanthology.org/2024.isa-1.4
- DOI:
- Cite (ACL):
- Yingxue Fu. 2024. Automatic Alignment of Discourse Relations of Different Discourse Annotation Frameworks. In Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024, pages 27–38, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Automatic Alignment of Discourse Relations of Different Discourse Annotation Frameworks (Fu, ISA-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/2024.isa-1.4.pdf