Abstract
Accurately annotated data determines whether a modern high-performing AI/ML model will present a suitable solution to a complex task/application challenge, or time and resources are wasted. The more adequate the structure of the incoming data is specified, the more efficient the data is translated to be used by the application. This paper presents an approach to an application-specific dialogue semantics design which integrates the dialogue act annotation standard ISO 24617-2 and various domain-specific semantic annotations. The proposed multi-scheme design offers a plausible and a rather powerful strategy to integrate, validate, extend and reuse existing annotations, and automatically generate code for dialogue system modules. Advantages and possible trade-offs are discussed.- Anthology ID:
- 2024.isa-1.15
- 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:
- 122–132
- Language:
- URL:
- https://aclanthology.org/2024.isa-1.15
- DOI:
- Cite (ACL):
- Andrei Malchanau, Volha Petukhova, and Harry Bunt. 2024. Fusing ISO 24617-2 Dialogue Acts and Application-Specific Semantic Content Annotations. In Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024, pages 122–132, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Fusing ISO 24617-2 Dialogue Acts and Application-Specific Semantic Content Annotations (Malchanau et al., ISA-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/2024.isa-1.15.pdf