TY - STD TI - Paul MJ, Dredze M, Broniatowski D. Twitter improves influenza forecasting. PLOS Currents Outbreaks. Edition 1. 2014;1-13. ID - ref1 ER - TY - JOUR AU - Stefanidis, A. AU - Vraga, E. AU - Lamprianidis, G. AU - Radzikowski, J. AU - Delamater, P. L. AU - Jacobsen, K. H. PY - 2017 DA - 2017// TI - Zika in twitter: temporal variations of locations, actors, and concepts JO - JMIR public Heal Surveill VL - 3 UR - https://doi.org/10.2196/publichealth.6925 DO - 10.2196/publichealth.6925 ID - Stefanidis2017 ER - TY - STD TI - Collier N, Doan S. Syndromic classification of Twitter messages. Electron Healthc. Springer Berlin Heidelberg; 2012. p. 186–95. ID - ref3 ER - TY - JOUR AU - Sueki, H. PY - 2015 DA - 2015// TI - The association of suicide-related twitter use with suicidal behaviour: a cross-sectional study of young internet users in Japan JO - J Affect Disord VL - 170 UR - https://doi.org/10.1016/j.jad.2014.08.047 DO - 10.1016/j.jad.2014.08.047 ID - Sueki2015 ER - TY - JOUR AU - Burnap, P. AU - Colombo, G. AU - Amery, R. AU - Hodorog, A. AU - Scourfield, J. PY - 2017 DA - 2017// TI - Multi-class machine classification of suicide-related communication on twitter JO - Online Soc networks media VL - 2 UR - https://doi.org/10.1016/j.osnem.2017.08.001 DO - 10.1016/j.osnem.2017.08.001 ID - Burnap2017 ER - TY - JOUR AU - So, J. AU - Prestin, A. AU - Lee, L. AU - Wang, Y. AU - Yen, J. AU - Chou, W. -. Y. S. PY - 2016 DA - 2016// TI - What do people like to “share” about obesity? A content analysis of frequent retweets about obesity on twitter JO - Health Commun VL - 31 UR - https://doi.org/10.1080/10410236.2014.940675 DO - 10.1080/10410236.2014.940675 ID - So2016 ER - TY - JOUR AU - McIver, D. J. AU - Hawkins, J. B. AU - Chunara, R. AU - Chatterjee, A. K. AU - Bhandari, A. AU - Fitzgerald, T. P. PY - 2015 DA - 2015// TI - Characterizing sleep issues using twitter JO - J Med Internet Res VL - 17 UR - https://doi.org/10.2196/jmir.4476 DO - 10.2196/jmir.4476 ID - McIver2015 ER - TY - STD TI - Jamison-Powell S, Linehan C, Daley L, Garbett A, Lawson S. “I can’t get no sleep”: discussing #insomnia on twitter. Proc 2012 ACM Annu Conf hum factors Comput Syst - CHI ‘12. New York, New York: ACM Press; 2012. p. 1501. ID - ref8 ER - TY - STD TI - Collier N, Nguyen ST, Nguyen MTN. OMG U got flu? Analysis of shared health messages for bio-surveillance. Proc 4th Symp Semant Min Biomed. Cambridge, UK; 2010. p. 18–26. ID - ref9 ER - TY - STD TI - Culotta A. Towards detecting influenza epidemics by analyzing Twitter messages. Proc First Workshop on Social Media Analytics. New York: ACM Press; 2010;115–22. ID - ref10 ER - TY - JOUR AU - Mowery, D. AU - Smith, H. AU - Cheney, T. AU - Stoddard, G. AU - Coppersmith, G. AU - Bryan, C. PY - 2017 DA - 2017// TI - Understanding depressive symptoms and psychosocial stressors on twitter: a Corpus-based study JO - J Med Internet Res VL - 19 UR - https://doi.org/10.2196/jmir.6895 DO - 10.2196/jmir.6895 ID - Mowery2017 ER - TY - STD TI - Girju R, Moldovan D. Text mining for causal relations. Proc FLAIRS Conf. 2002:360–4. ID - ref12 ER - TY - BOOK AU - Asghar, N. PY - 2016 DA - 2016// TI - Automatic extraction of causal relations from natural language texts: a comprehensive survey ID - Asghar2016 ER - TY - JOUR AU - Girju, R. AU - Moldovan, D. AU - Blanco, E. AU - Castell, N. AU - Moldovan, D. AU - Luo, Z. PY - 2006 DA - 2006// TI - Causal relation extraction JO - Proc FLAIRS Conf VL - 2016 ID - Girju2006 ER - TY - JOUR AU - Cole, S. V. AU - Royal, M. D. AU - Valtorta, M. G. AU - Huhns, M. N. AU - Bowles, J. B. PY - 2006 DA - 2006// TI - A lightweight tool for automatically extracting causal relationships from text JO - Conf Proc - IEEE SOUTHEASTCON VL - 2006 ID - Cole2006 ER - TY - STD TI - Khoo CSG, Chan S, Niu Y. Extracting causal knowledge from a medical database using graphical patterns. Proc 38th Annu Meet Assoc Comput Linguist - ACL ‘00. Morristown, NJ: Association for Computational Linguistics; 2000. p. 336–43. ID - ref16 ER - TY - STD TI - Ittoo A, Bouma G. Extracting Explicit and Implicit Causal Relations from Sparse, Domain-specific Texts. Proc 16th Int Conf Nat Lang Process Inf Syst. Berlin, Heidelberg: Springer-Verlag; 2011. p. 52–63. ID - ref17 ER - TY - JOUR AU - Ittoo, A. AU - Bouma, G. PY - 2013 DA - 2013// TI - Minimally-supervised learning of domain-specific causal relations using an open-domain corpus as knowledge base JO - Data Knowl Eng VL - 88 UR - https://doi.org/10.1016/j.datak.2013.08.004 DO - 10.1016/j.datak.2013.08.004 ID - Ittoo2013 ER - TY - STD TI - Gordon AS, Kozareva Z, Roemmele M. SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning. SemEval 2012. 2012;394–8. ID - ref19 ER - TY - JOUR AU - Yang, X. AU - Mao, K. PY - 2014 DA - 2014// TI - Multi level causal relation identification using extended features JO - Expert Syst Appl VL - 41 UR - https://doi.org/10.1016/j.eswa.2014.05.044 DO - 10.1016/j.eswa.2014.05.044 ID - Yang2014 ER - TY - STD TI - Rink B, Bejan CA, Harabagiu S. Learning textual graph patterns to detect causal event relations. Artif Intell. 2010:265–70. ID - ref21 ER - TY - STD TI - Girju R. Automatic detection of causal relations for Question Answering. Proc ACL 2003 Work Multiling Summ Quest answering. Morristown, NJ: Association for Computational Linguistics; 2003. p. 76–83. ID - ref22 ER - TY - STD TI - Blanco E, Castell N, Moldovan D. Causal Relation Extraction. Proc 6th Int Conf Lang Resour Eval Lr 2008. 2008;310–3. ID - ref23 ER - TY - JOUR AU - Girju, R. AU - Nakov, P. AU - Nastase, V. AU - Szpakowicz, S. AU - Turney, P. AU - Yuret, D. PY - 2009 DA - 2009// TI - Classification of semantic relations between nominals JO - Lang Resour Eval VL - 43 UR - https://doi.org/10.1007/s10579-009-9083-2 DO - 10.1007/s10579-009-9083-2 ID - Girju2009 ER - TY - CHAP AU - Pakray, P. AU - Gelbukh, A. ED - Gelbukh, A. ED - Espinoza, F. C. ED - Galicia-Haro, S. N. PY - 2014 DA - 2014// TI - An open-domain cause-effect relation detection from paired nominals BT - Nature-inspired Comput Mach learn PB - Springer International Publishing CY - Cham ID - Pakray2014 ER - TY - STD TI - De Choudhury M, Counts S, Horvitz E. Social media as a measurement tool of depression in populations. Proc 5th Annu ACM Web Sci Conf - WebSci ‘13. New York, New York, USA: ACM Press; 2013. p. 47–56. ID - ref26 ER - TY - JOUR AU - Lachmar, E. M. AU - Wittenborn, A. K. AU - Bogen, K. W. AU - McCauley, H. L. PY - 2017 DA - 2017// TI - #MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter JO - JMIR Ment Heal VL - 4 UR - https://doi.org/10.2196/mental.8141 DO - 10.2196/mental.8141 ID - Lachmar2017 ER - TY - JOUR AU - Reece, A. G. AU - Reagan, A. J. AU - Lix, K. L. M. AU - Dodds, P. S. AU - Danforth, C. M. AU - Langer, E. J. PY - 2017 DA - 2017// TI - Forecasting the onset and course of mental illness with twitter data JO - Sci Rep VL - 7 UR - https://doi.org/10.1038/s41598-017-12961-9 DO - 10.1038/s41598-017-12961-9 ID - Reece2017 ER - TY - JOUR AU - Doan, S. AU - Ritchart, A. AU - Perry, N. AU - Chaparro, J. D. AU - Conway, M. PY - 2017 DA - 2017// TI - How do you #relax when You’re #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets JO - JMIR public Heal Surveill VL - 3 UR - https://doi.org/10.2196/publichealth.5939 DO - 10.2196/publichealth.5939 ID - Doan2017 ER - TY - JOUR AU - Myslín, M. AU - Zhu, S. H. AU - Chapman, W. AU - Conway, M. PY - 2013 DA - 2013// TI - Using twitter to examine smoking behavior and perceptions of emerging tobacco products JO - J Med Internet Res VL - 15 UR - https://doi.org/10.2196/jmir.2534 DO - 10.2196/jmir.2534 ID - Myslín2013 ER - TY - JOUR AU - Chen, T. AU - Dredze, M. PY - 2018 DA - 2018// TI - Vaccine images on twitter: analysis of what images are shared JO - J Med Internet Res VL - 20 UR - https://doi.org/10.2196/jmir.8221 DO - 10.2196/jmir.8221 ID - Chen2018 ER - TY - JOUR AU - Cocos, A. AU - Fiks, A. G. AU - Masino, A. J. PY - 2017 DA - 2017// TI - Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in twitter posts JO - J Am Med Inform Assoc VL - 24 UR - https://doi.org/10.1093/jamia/ocw180 DO - 10.1093/jamia/ocw180 ID - Cocos2017 ER - TY - JOUR AU - O’Connor, K. AU - Pimpalkhute, P. AU - Nikfarjam, A. AU - Ginn, R. AU - Smith, K. L. AU - Gonzalez, G. PY - 2014 DA - 2014// TI - Pharmacovigilance on twitter? Mining tweets for adverse drug reactions JO - AMIA Annu Symp Proc VL - 2014 ID - O’Connor2014 ER - TY - BOOK AU - Manning, C. AU - Surdeanu, M. AU - Bauer, J. AU - Finkel, J. AU - Bethard, S. AU - McClosky, D. PY - 2014 DA - 2014// TI - The Stanford CoreNLP Natural Language Processing Toolkit. Proc 52nd Annu Meet Assoc Comput Linguist Syst Demonstr PB - Association for Computational Linguistics CY - Stroudsburg, PA ID - Manning2014 ER - TY - STD TI - Nivre J, Marneffe M De, Ginter F, Goldberg Y, Manning CD, Mcdonald R, et al. Universal Dependencies v1: A Multilingual Treebank Collection. Proc 10th Int Conf Lang Resour Eval (LREC 2016). 2016;1659–66. ID - ref35 ER - TY - STD TI - Mcdonald R, Nivre J, Quirmbach-brundage Y, Goldberg Y, Das D, Ganchev K, et al. Universal Dependency Annotation for Multilingual Parsing. Proc 51st Annu Meet Assoc Comput Linguist. 2013;92–7. ID - ref36 ER - TY - JOUR AU - Miller, G. A. PY - 1995 DA - 1995// TI - WordNet: a lexical database for English JO - Commun ACM VL - 38 UR - https://doi.org/10.1145/219717.219748 DO - 10.1145/219717.219748 ID - Miller1995 ER - TY - STD TI - Chambers N, Cer D, Grenager T, Hall D, Kiddon C, et al. Learning alignments and leveraging natural logic. Proc Workshop on Textual Entailment and Paraphrasing. 2007:165–70. ID - ref38 ER -