RepGraph: Visualising and Analysing Meaning Representation Graphs

Cohen, Jaron and Cohen, Roy and Toledo, Edan and Buys, Jan (2021) RepGraph: Visualising and Analysing Meaning Representation Graphs, Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, November 7–11, 2021, Online and Punta Cana, Dominican Republic.

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We present RepGraph, an open source visualisation and analysis tool for meaning representation graphs. Graph-based meaning representations provide rich semantic annotations, but visualising them clearly is more challenging than for fully lexicalized representations. Our application provides a seamless, unifying interface with which to visualise, manipulate and analyse semantically parsed graph data represented in a JSON-based serialisation format. RepGraph visualises graphs in multiple formats, with an emphasis on showing the relation between nodes and their corresponding token spans, whilst keeping the representation compact. Additionally, the web-based tool provides NLP researchers with a clear, visually intuitive way of interacting with these graphs, and includes a number of graph analysis features. The tool currently supports the DMRS, EDS, PTG, UCCA, and AMR seman- tic frameworks. A live demo is available at

Item Type: Conference paper
Subjects: Human-centered computing > Visualization
Computing methodologies > Artificial intelligence > Natural language processing
Date Deposited: 03 Dec 2021 11:19
Last Modified: 03 Dec 2021 11:19

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