R. Artstein and M. Poesio, Inter-Coder Agreement for Computational Linguistics, Computational Linguistics, vol.27, issue.1, pp.555-596, 2008.
DOI : 10.1037/0033-2909.103.3.374

J. Baldridge and A. Palmer, How well does active learning actually work? timebased evaluation of cost-reduction strategies for language documentation Proceedings of the, Conference on Empirical Methods in Natural Language Processing, 2009.

J. Cohen, A Coefficient of Agreement for Nominal Scales, Educational and Psychological Measurement, vol.20, issue.1, pp.37-46, 1960.
DOI : 10.1177/001316446002000104

D. Hakkani-tür and G. Riccardi, Active Learning Spoken Language Understanding: Systems for Extracting Semantic Information from Speech, pp.195-224, 2011.

D. Hakkani-tür, G. Riccardi, and G. Tur, An active approach to spoken language processing, ACM Transactions on Speech and Language Processing, vol.3, issue.3, pp.1-31, 2006.
DOI : 10.1145/1177055.1177056

K. Kamangar, D. Hakkani-tür, G. Tur, and M. Levit, An iterative unsupervised learning method for information distillation Proceedings of ICASSP, 2008.

R. Malouf and T. Mullen, Taking sides: User classification for informal online political discourse In Internet Research, pp.177-190, 2008.

K. Nigam, R. Ghani, B. Connor, R. Balasubramanyan, B. Routledge et al., From tweets to polls: Linking text sentiment to public opinion time series, Proceedings of the Workshop on Text Mining at the 6th ACM SIGKDD at the KDD International AAAI Conference on Weblogs and Social Media, 2000.

C. Sanchez-sanchez, H. Jimenez-salazar, and W. Luna-ramirez, UAMCLyR at Re- plab2013: Monitoring Task in CLEF, 2013.

B. Settles, Active Learning Literature Survey, 2009.

G. Tur, D. Hakkani-tür, and R. Schapire, Combining active and semi-supervised learning for spoken language understanding, Speech Communication, vol.45, issue.2, pp.171-186, 2005.
DOI : 10.1016/j.specom.2004.08.002

T. Walter and A. Back, A Text Mining Approach to Evaluate Submissions to Crowdsourcing Contests, 2013 46th Hawaii International Conference on System Sciences
DOI : 10.1109/HICSS.2013.64

H. Wang, D. Can, A. Kazemzadeh, F. Bar, and S. Narayanan, A system for real-time twitter sentiment analysis of 2012 u.s. presidential election cycle, Proceedings of the ACL 2012 System Demonstrations, ACL '12, pp.115-120

L. Wang, L. , and L. , Automatic Text Classification Based on Hidden Markov Model and Support Vector Machine, Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, pp.2013-217
DOI : 10.1007/978-3-642-37502-6_27