max planck institut
informatik
informatik
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| Title: | Practical Extraction of Disaster-Relevant Information from Social Media |
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| 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 We use this to send out email in the morning. |
| Level: | AG Audience |
| Language: | English |
| Date: | Friday, 20 June 2014 |
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| Time: | 14:30 |
| Duration: | 60 Minutes |
| Location: | Saarbrücken |
| Building: | E1 1 - Informatik |
| Room: | 433 |
| 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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| Video Broadcast: | No | To Location: |
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