Text2Story 2018 - First International Workshop on Narrative Extraction from Texts

The increasing availability of text information in the form of news articles, comments or posts poses new challenges for those who aim to understand the storyline of an event. Although understanding natural language text has improved over the last couple of years with several research works emerging on the grounds of information extraction and text mining, the problem of constructing consistent narrative structures is yet to be solved. We still have a challenging path ahead of us for the development and improvement of algorithms that automatically identify, interpret and relate the different elements of a narrative which will be likely spread from different sources.
In this workshop, we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from texts. More specifically, we aim to capture a wide range of multidisciplinary issues related to the text-to-narrative-structure and to its various related tasks. This is a very rich line of research that poses many challenging problems in information retrieval, text mining, information extraction, computational linguistics and automatic production of media content. Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation from texts including but not limited to narrative and content generation, formal representation, and visualization of narratives. This includes the following topics:
Event Identification
Narrative Representation Language
Sentiment and Opinion Detection
Argumentation Mining
Narrative Summarization
Storyline Visualization
Temporal Aspects of Storylines
Evaluation Methodologies for Narrative Extraction
Big data applied to Narrative Extraction
Resources and Dataset showcase
Personalization and Recommendation
User Profiling and User Behavior Modeling
Credibility
Fact Checking
Bots Influence