Brat2Viz: a Tool and Pipeline for Visualizing Narratives from Annotated Texts

Narrative Extraction from text is a complex task that starts by identifying a set of narrative elements (actors, events, times), and the semantic links between them (temporal, referential, semantic roles). The outcome is a structure or set of structures which can then be represented graphically, thus opening room for further and alternative exploration of the plot. Such visualization can also be useful during the on-going annotation process. Manual annotation of narratives can be a complex effort and the possibility offered by the Brat annotation tool of annotating directly on the text does not seem suciently helpful. In this paper, we propose Brat2Viz, a tool and a pipeline that displays visualization of narrative information annotated in Brat. Brat2Viz reads the annotation file of Brat, produces an intermediate representation in the declarative language DRS (Discourse Representation Structure), and from this obtains the visualization. Currently, we make available two visualization schemes: MSC (Message Sequence Chart) and Knowledge Graphs. The modularity of the pipeline enables the future extension to new annotation sources, different annotation schemes, and alternative visualizations or representations. We illustrate the pipeline using examples from an European Portuguese news corpus.

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Recommended citation: Amorim E., Ribeiro, A., Cantante, I., Jorge, A., Santana, B., Nunes, S., Silvano, P., Leal, A., and Campos, R. (2021). Brat2Viz: a Tool and Pipeline for Visualizing Narratives from Annotated Texts. In Proceedings of the 4th International Workshop on Narrative Extraction from Texts (Text2Story 2021) associated to 43rd International Conference on Information Retrieval (ECIR2021). Online, April, 1st.