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A Survey of Techniques for Event Detection in Twitter

, and . Computational Intelligence, 31 (1): 132--164 (2015)
DOI: 10.1111/coin.12017

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Domain Adaptation Techniques for Machine Translation and Their Evaluation in a Real-World Setting., , , , , and . Canadian AI, volume 7310 of Lecture Notes in Computer Science, page 158-169. Springer, (2012)A Survey of Techniques for Event Detection in Twitter, and . Computational Intelligence, 31 (1): 132--164 (2015)Machine Translation of Legal Information and Its Evaluation., and . Canadian AI, volume 5549 of Lecture Notes in Computer Science, page 64-73. Springer, (2009)Collaboratively Constructed Linguistic Resources for Language Variants and their Exploitation in NLP Application - the case of Tunisian Arabic and the Social Media., , , , and . LG-LP@COLING, page 102-110. Association for Computational Linguistics and Dublin City University, (2014)A Survey of Techniques for Event Detection in Twitter., and . Comput. Intell., 31 (1): 132-164 (2015)Detecting and Disambiguating Locations Mentioned in Twitter Messages., , , , and . CICLing (2), volume 9042 of Lecture Notes in Computer Science, page 321-332. Springer, (2015)Supervised Machine Learning for Summarizing Legal Documents., , and . Canadian AI, volume 6085 of Lecture Notes in Computer Science, page 51-62. Springer, (2010)Automatic Translation of Court Judgments., , , and . GovAndCom@AMTA, page 370-379. Association for Machine Translation in the Americas, (2008)Préface., and . Trait. Autom. des Langues, 54 (3): 7-16 (2013)Hashtag Occurrences, Layout and Translation: A Corpus-driven Analysis of Tweets Published by the Canadian Government., , and . LREC, page 2254-2261. European Language Resources Association (ELRA), (2014)