@inproceedings{amblard-etal-2022-graph,
    title = "Graph Querying for Semantic Annotations",
    author = "Amblard, Maxime  and
      Guillaume, Bruno  and
      Pavlova, Siyana  and
      Perrier, Guy",
    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://preview.aclanthology.org/moar-dois/2022.isa-1.13/",
    pages = "95--101",
    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."
}