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Identification and Analysis of Medical Entity Co-occurrences in Twitter., , and . DTMBIO@CIKM, page 22. ACM, (2015)A Baseline Approach to the RTE5 Search Pilot., and . TAC, NIST, (2009)Using Diverse Information Sources to Retrieve Samples of Low Density Languages.. ALTA, page 64-70. Australasian Language Technology Association, (2005)Investigating Public Health Surveillance using Twitter., , and . BioNLP@IJCNLP, page 164-170. Association for Computational Linguistics, (2015)Extracting Biomedical Events and Modifications Using Subgraph Matching with Noisy Training Data., , , , , and . BioNLP@ACL (Shared Task), page 35-44. Association for Computational Linguistics, (2013)The Effects of Semantic Annotations on Precision Parse Ranking., , , and . *SEM@NAACL-HLT, page 228-236. Association for Computational Linguistics, (2012)Detection of adverse drug reactions using medical named entities on Twitter., , and . AMIA, AMIA, (2017)Reconsidering Language Identification for Written Language Resources., , , , and . LREC, page 485-488. European Language Resources Association (ELRA), (2006)Temporal Modelling of Geospatial Words in Twitter., , , and . ALTA, page 133-137. ACL, (2016)Syndromic Surveillance using Generic Medical Entities on Twitter., , and . ALTA, page 35-44. ACL, (2016)