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Zheng, \u201cFeature-rich segment-based news event detection on twitter,\u201d Proceedings of the Sixth IJCNLP, Nagoya, Japan, pp.302-310, Oct. 2013."},{"key":"8","unstructured":"[8] H. Becker, M. Naaman, and L. Gravano, \u201cBeyond trending topics: Real-world event identification on twitter,\u201d Proceedings of ICWSM, 2011."},{"key":"9","unstructured":"[9] G. Ifrim, B. Shi, and I. Brigadir, \u201cEvent detection in twitter using aggressive filtering and hierarchical tweet clustering,\u201d Proceedings of he SNOW 2014 Data Challenge, Seoul, Korea, pp.33-40, April 2014."},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] R. Li, K.H. Lei, R. Khadiwala, and K.C.-C. Chang, \u201cTedas: A twitter-based event detection and analysis system,\u201d Proceedings of ICDE, Arlington, VA, USA, pp.1273-1276, 2012. 10.1109\/icde.2012.125","DOI":"10.1109\/ICDE.2012.125"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] A. Cui, M. Zhang, Y. Liu, S. Ma, and K. 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Clark, \u201cOpen domain event extraction from twitter,\u201d Proceedings of the 18th ACM SIGKDD, pp.1104-1112, 2012. 10.1145\/2339530.2339704","DOI":"10.1145\/2339530.2339704"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] D. Zhou, L. Chen, and Y. He, \u201cA simple bayesian modelling approach to event extraction from twitter,\u201d Proceedings of ACL, Baltimore, Maryland, pp.700-705, Association for Computational Linguistics, June 2014. 10.3115\/v1\/p14-2114","DOI":"10.3115\/v1\/P14-2114"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] Y. Choi, P.M. Ryu, H. Kim, and C. Lee, \u201cExtracting events from web documents for social media monitoring using structured svm,\u201d IEICE Trans. Inf & Syst, vol.E96-D, no.6, pp.1410-1414, 2013. 10.1587\/transinf.e96.d.1410","DOI":"10.1587\/transinf.E96.D.1410"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] T. Sakaki, M. Okazaki, and Y. Matsuo, \u201cEarthquake shakes twitter users: real-time event detection by social sensors,\u201d Proceedings of WWW, Raleigh, North Carolina, USA, pp.851-860, 2010. 10.1145\/1772690.1772777","DOI":"10.1145\/1772690.1772777"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] P. Agarwal, R. Vaithiyanathan, S. Sharma, and G. Shroff, \u201cCatching the long-tail: Extracting local news events from twitter,\u201d ICWSM, pp.379-382, 2012.","DOI":"10.1609\/icwsm.v6i1.14317"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] Y. Kitagawa, M. Komachi, E. Aramaki, N. Okazaki, and H. Ishikawa, \u201cDisease event detection based on deep modality analysis,\u201d Proceedings of the ACL-IJCNLP 2015 Student Research Workshop, Beijing, China, pp.28-34, Association for Computational Linguistics, July 2015. 10.3115\/v1\/p15-3005","DOI":"10.3115\/v1\/P15-3005"},{"key":"20","unstructured":"[20] S. Petrovi\u0107, M. Osborne, and V. Lavrenko, \u201cStreaming first story detection with application to twitter,\u201d Proceedings of HLT, Los Angeles, California, pp.181-189, 2010."},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] Y. Qin, Y. Zhang, M. Zhang, and D. Zheng, \u201cSemantic-frame representation for event detection on twitter,\u201d Proceedings of IALP, 2017.","DOI":"10.1109\/IALP.2017.8300594"},{"key":"22","unstructured":"[22] M. Lui and T. Baldwin, \u201clangid.py: An off-the-shelf language identification tool,\u201d Proceedings of the ACL 2012 System Demonstrations, pp.25-30, 2012."},{"key":"23","unstructured":"[23] B. Han, P. Cook, and T. Baldwin, \u201cAutomatically constructing a normalisation dictionary for microblogs,\u201d Proceedings of the EMNLP-CoNLL, pp.421-432, 2012."},{"key":"24","unstructured":"[24] L. Derczynski, A. Ritter, S. Clark, and K. Bontcheva, \u201cTwitter part-of-speech tagging for all: Overcoming sparse and noisy data,\u201d Proceedings of RANLP, 2013."},{"key":"25","unstructured":"[25] L. Ramshaw and M. Marcus, \u201cText Chunking Using Transformation-Based Learning,\u201d Proceedings of the Third Workshop on Very Large Corpora, Somerset, New Jersey, pp.82-94, 1995."},{"key":"26","unstructured":"[26] A. Fader, S. Soderland, and O. Etzioni, \u201cIdentifying relations for open information extraction,\u201d Proceedings of EMNLP, pp.1535-1545, 2011."},{"key":"27","unstructured":"[27] Mausam, M. Schmitz, R. Bart, S. Soderland, and O. Etzioni, \u201cOpen language learning for information extraction,\u201d Proceedings of the EMNLP-CoNLL '12, pp.523-534, 2012."},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] G. Angeli, M.J. Premkumar, and C.D. Manning, \u201cLeveraging linguistic structure for open domain information extraction,\u201d Proceedings of the ACL-IJCNLP, Beijing, China, pp.344-354, Association for Computational Linguistics, July 2015. 10.3115\/v1\/p15-1034","DOI":"10.3115\/v1\/P15-1034"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] A. Guille and C. Favre, \u201cEvent detection, tracking, and visualization in twitter: a mention-anomaly-based approach,\u201d Social Network Analysis and Mining, vol.5, no.1, 2015. 10.1007\/s13278-015-0258-0","DOI":"10.1007\/s13278-015-0258-0"},{"key":"30","unstructured":"[30] G.P.C. Fung, J.X. Yu, P.S. Yu, and H. Lu, \u201cParameter free bursty events detection in text streams,\u201d Proceedings of VLDB, Trondheim, Norway, pp.181-192, 2005."},{"key":"31","unstructured":"[31] E. Kreyszig, H. Kreyszig, and E.J. Norminton, Advanced Engineering Mathematics, 10th ed., Wiley, Hoboken, NJ, 2011."},{"key":"32","doi-asserted-by":"publisher","unstructured":"[32] R.A. Jarvis and E.A. Patrick, \u201cClustering using a similarity measure based on shared near neighbors,\u201d IEEE Trans. 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