Classifying short messages using collaborative knowledge bases: Reading Wikipedia to understand Twitter

CEUR Workshop Proceedings

Volumn 1019, Issue , 2013, Pages 50-53

  Genc, Yegin ^a   Mason, Winter ^a   Nickerson, Jeffrey V ^a  

^a STEVENS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84922278063     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Genc, Y., Mason, W., and Nickerson, J.V. 2012. Semantic Transforms Using Collaborative Knowledge Bases, Workshop on Information in Networks
2. Genc, Y., Sakamoto, Y., and Nickerson, J.V. Discovering context: Classifying tweets through a semantic transform based on Wikipedia, In D. Schmorrow and C. Fidopiastis (Eds). Foundations of Augmented Cognition: Directing the Future of Adaptive Systems, Lecture Notes in Computer Science, 6780 LNAI, Springer, Berlin, 2011, 484-492.
3. M. Michelson and S. A. Macskassy, "Discovering users' topics of interest on twitter: a first look," Proceedings of the fourth workshop on Analytics for noisy unstructured text data, pp. 73-80, 2010.
4. E. Gabrilovich and S. Markovitch, "Wikipedia-based semantic interpretation for natural language processing," Journal of Artificial Intelligence Research, vol. 34, no. 1, pp. 443-498, 2009.
5. M. Strube and S. P. Ponzetto, "WikiRelate! Computing semantic relatedness using Wikipedia," Proceedings of the National Conference on Artificial Intelligence, vol. 21, no. 2, pp. 1419-1424, 2006.