Graph Querying for Semantic Annotations

TL;DR

This paper introduces GREW-MATCH, an online tool for querying and visualizing semantically annotated corpora, aiding in consistency checking, error detection, and annotation support through a dedicated query syntax.

Contribution

It presents GREW-MATCH, a novel tool with a specialized syntax for querying and visualizing semantic annotations, enhancing annotation quality and efficiency.

Findings

GREW-MATCH enables effective consistency checks across corpora.

The tool assists in error mining by identifying annotation inconsistencies.

It supports annotation tasks by providing relevant examples from existing data.

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, 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.