@inproceedings{meron-2022-simplifying,
title = "Simplifying Semantic Annotations of {SMC}al{F}low",
author = "Meron, Joram",
editor = "Bunt, Harry",
booktitle = "Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.isa-1.11/",
pages = "81--85",
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."
}
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<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.</abstract>
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%0 Conference Proceedings
%T Simplifying Semantic Annotations of SMCalFlow
%A Meron, Joram
%Y Bunt, Harry
%S Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F meron-2022-simplifying
%X 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.
%U https://aclanthology.org/2022.isa-1.11/
%P 81-85
Markdown (Informal)
[Simplifying Semantic Annotations of SMCalFlow](https://aclanthology.org/2022.isa-1.11/) (Meron, ISA 2022)
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.