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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.isa-1.13.pdf
- Data
- Bio