Brat2Viz: a tool and pipeline for visualizing narratives from annotated texts

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2021

Autores

Amorim, Evelin (Autor) FCUP; Ribeiro, Alexandre (Autor) FCUP; Cantante, Inês (Autor) FLUP; Jorge, Alípio (Autor) FCUP; Santana, Brenda (Autor) Outra; Nunes, Sérgio (Autor) FEUP; Silvano, Maria da Purificação (Autor) FLUP; Leal, António (Autor) FLUP; Campos, Ricardo (Autor) FCUP

Ata de Conferência Internacional

Título: Proceedings of Text2Story - Fourth Workshop on Narrative Extraction From Texts held in conjunction with the 43rd European Conference on Information Retrieval (ECIR 2021)

Páginas: 49-56

Text2Story - Fourth Workshop on Narrative Extraction From Texts ; 43rd European Conference on Information Retrieval (ECIR 2021)

Lucca, 1 April 2021

Indexação

Scopus - 5 Citações

Classificação Científica

CORDIS: Humanidades > Ciências da linguagem > Linguística

Outras Informações

ID Authenticus: P-00T-ZRJ

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: Disponível em: http://ceur-ws.org/Vol-2860/paper6.pdf