| Autor: |
Amblard, Maxime, Guillaume, Bruno, Pavlova, Siyana, Perrier, Guy |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
f ISA-18 Workshop at LREC2022, Jun 2022, Marseille, France |
| Druh dokumentu: |
Working Paper |
| Popis: |
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, these 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 tasks helping to find annotation examples in existing corpora to be compared to the data to be annotated. |
| Databáze: |
arXiv |
| Externí odkaz: |
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