In: GeoInformatica, 2014, vol. 18, no. 1, p. 165-191
|
In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017, p. 457–466
Automatically extracting information from social media is challenging given that social content is often noisy, ambiguous, and inconsistent. However, as many stories break on social channels first before being picked up by mainstream media, developing methods to better handle social content is of utmost importance. In this paper, we propose a robust and effective approach to automatically...
|
In: The VLDB Journal, 2008, vol. 17, no. 6, p. 1371-1384
|
In: Web Semantics: Science, Services and Agents on the World Wide Web
|