Social media platforms such as Twitter, Facebook or LinkedIn become a reliable source of news and play a key role for being aware of events around the world. Using social media to recognize, enrich or summarize events is however very challenging. In the first part of this talk, we will present ADEL, a novel hybrid architecture for an adaptive entity linking system, that combines methods from the natural language processing, information retrieval and semantic fields. We will show how ADEL can outperform the state-of-the-art systems on the reference NEEL challenge that happens in the yearly #Micropost workshop (2014-2016). In the second part of this talk, we will present a framework that can collect microposts from more than 12 social platforms and that contain media items, as a result of a query -- for example a trending event. We will then show how we can automatically create different visual storyboards that reflect what users have shared about this particular event.
Linking entities for enriching and structuring social media content
Keynote Talk at NLPIT 2016, 2nd International Workshop on Natural Language Processing for Informal text, in conjunction with WWWW 2016, April 11-15, 2016, Montreal, Canada
© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Keynote Talk at NLPIT 2016, 2nd International Workshop on Natural Language Processing for Informal text, in conjunction with WWWW 2016, April 11-15, 2016, Montreal, Canada http://dx.doi.org/10.1145/2872518.2892109
PERMALINK : https://www.eurecom.fr/publication/4829