Graph Querying for Semantic Annotations

Maxime Amblard, Bruno Guillaume, Siyana Pavlova, Guy Perrier


Abstract
This paper presents how the online tool Grew-match can be used to make queries and visualise data from existing semantically annotated corpora. A dedicated syntax is available to construct simple to complex queries and execute them against a corpus. Such queries give transverse views of the annotated data, this views can help for checking the consistency of annotations in one corpus or across several corpora. Grew-match can then be seen as an error mining tool: when inconsistencies are detected, it helps finding the sentences which should be fixed. Finally, Grew-match can also be used as a side tool to assist annotation task helping to find annotations examples in existing corpora to be compare to the data to be annotated.
Anthology ID:
2022.isa-1.13
Volume:
Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
ISA
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
95–101
Language:
URL:
https://aclanthology.org/2022.isa-1.13
DOI:
Bibkey:
Cite (ACL):
Maxime Amblard, Bruno Guillaume, Siyana Pavlova, and Guy Perrier. 2022. Graph Querying for Semantic Annotations. In Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022, pages 95–101, Marseille, France. European Language Resources Association.
Cite (Informal):
Graph Querying for Semantic Annotations (Amblard et al., ISA 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.isa-1.13.pdf
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