DaSSWeb – Data Science and Statistics Webinar
Tuesday, 26 January, 14:30
Speaker: Alípio M. Jorge Fac. Sciences, Univ. Porto & LIAAD INESC TEC
Title: Text2Story: Narrative Extraction from Texts
Zoom link: videoconf-colibri.zoom.us/j/85023733490
Abstract:
Nowadays journalistic content is distributed in multiple formats, mostly through the web and specific internet based applications running on smartphones and tablets. Text is a very important format, but readers (or more accurately users or information consumers) heavily rely on images, videos, slideshows, charts and infographics. Textual content is still the main representation for information. Any journalistic subject (e.g. Trump and Russia) is described in one or more texts produced by journalists and possibly commented by readers. Many of those subjects are followed during days, weeks or months. To grasp a possibly vast and somewhat complex set of interconnected news articles, readers would greatly benefit from tools that summarize those articles by showing main actors, their interplay and their trajectories in time and space, their motivations, main events, causal relations of events and outcomes. In other words, tools that extract narrative elements and re-represent them in formats that convey the essential story but that are more efficiently consumed by the users. In this talk I will talk about these research challenges and current state of the art.
DaSSWeb_Alipio_Jorge.pdf