Extracting journalistic narratives from text and representing them in a narrative modeling language
This vibrant research line poses many challenging problems in information extraction and automatic production of media content. At this project we want to be able to extract narratives/stories from news articles or collections of related news articles (unstructured data) about the same (or related) subject, representing those narratives in intermediate data structures (structured data) and making this available to subsequent media production processes (semi-automatic generation of slide shows, infographics and other visualizations, video sequences, games, etc.). In summary, our aim in Text2Story project is to develop a conceptual framework and operational pipeline for the extraction of narratives from textual sources. The project focuses on the automatic processing of journalistic text in written Portuguese.