Simplifying Semantic Annotations of SMCalFlow

Joram Meron


Abstract
SMCalFlow (Semantic Machines et al., 2020) is a large corpus of semantically detailed annotations of task-oriented natural dialogues. The annotations use a dataflow approach, in which the annotations are programs which represent user requests. Despite the availability, size and richness of this annotated corpus, it has seen only very limited use in dialogue systems research work, at least in part due to the difficulty in understanding and using the annotations. To address these difficulties, this paper suggests a simplification of the SMCalFlow annotations, as well as releases code needed to inspect the execution of the annotated dataflow programs, which should allow researchers of dialogue systems an easy entry point to experiment with various dataflow based implementations and annotations.
Anthology ID:
2022.isa-1.11
Volume:
Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022
Month:
June
Year:
2022
Address:
Marseille, France
Editor:
Harry Bunt
Venue:
ISA
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
81–85
Language:
URL:
https://aclanthology.org/2022.isa-1.11
DOI:
Bibkey:
Cite (ACL):
Joram Meron. 2022. Simplifying Semantic Annotations of SMCalFlow. In Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022, pages 81–85, Marseille, France. European Language Resources Association.
Cite (Informal):
Simplifying Semantic Annotations of SMCalFlow (Meron, ISA 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.isa-1.11.pdf
Code
 telepathylabsai/OpenDF