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What and Who
Title:Practical Extraction of Disaster-Relevant Information from Social Media
Speaker:Shady Elbassuoni
coming from:American University Beirut
Speakers Bio:http://www.aub.edu.lb/fas/cs/people/Pages/se58.aspx
Event Type:Talk
Visibility:D5, RG1, MMCI
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Level:AG Audience
Language:English
Date, Time and Location
Date:Friday, 20 June 2014
Time:14:30
Duration:60 Minutes
Location:Saarbr├╝cken
Building:E1 1 - Informatik
Room:433
Abstract
During times of disasters online users generate a significant amount of data, some of which are extremely valuable for relief efforts. In this work, we study the nature of social-media content generated during two different natural disasters. We also train a set of models based on conditional random fields to extract valuable information from such content. We evaluate our extraction models over our two disaster-related datasets. We also evaluate our models over one non-disaster dataset to show that our extraction models are useful for extracting information from socially-generated content in general.
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  • Petra Schaaf, 06/16/2014 01:50 PM -- Created document.