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[1] Timothy Baldwin,et al. langid.py: An Off-the-shelf Language Identification Tool , 2012, ACL.
[2] Abby Stoddard,et al. Haiti Earthquake Response: Context Analysis , 2010 .
[3] Xiang Yao,et al. The Design of a Dynamic Emergency Response Management Information System (DERMIS) , 2004 .
[4] Kenny Meesters,et al. Making sense of crises: the implications of information asymmetries for resilience and social justice in disaster-ridden communities , 2019 .
[5] Muhammad Imran,et al. Enabling Rapid Classification of Social Media Communications During Crises , 2016, Int. J. Inf. Syst. Crisis Response Manag..
[6] Carlos Castillo,et al. What to Expect When the Unexpected Happens: Social Media Communications Across Crises , 2015, CSCW.
[7] Murel H. Folk. Help , 1967 .
[8] Xiang Zhang,et al. Character-level Convolutional Networks for Text Classification , 2015, NIPS.
[9] Robert Munro,et al. Subword and Spatiotemporal Models for Identifying Actionable Information in Haitian Kreyol , 2011, CoNLL.
[10] Kalina Bontcheva,et al. Simple Open Stance Classification for Rumour Analysis , 2017, RANLP.
[11] Brendan T. O'Connor,et al. TweetMotif: Exploratory Search and Topic Summarization for Twitter , 2010, ICWSM.
[12] Kalina Bontcheva,et al. Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines , 2014, LREC.
[13] Harith Alani,et al. Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media , 2017, SEMWEB.
[14] Nima Khakzad,et al. Hurricane Harvey Report: A fact-finding effort in the direct aftermath of Hurricane Harvey in the Greater Houston Region , 2017 .
[15] Fernando Diaz,et al. CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises , 2014, ICWSM.
[16] Axel Schulz,et al. Semantic Abstraction for generalization of tweet classification: An evaluation of incident-related tweets , 2016, Semantic Web.
[17] Bartel Van de Walle,et al. Coordination and information management in the Haiyan response: Observations from the field , 2014 .
[18] Irina P. Temnikova,et al. The Case for Readability of Crisis Communications in Social Media , 2015, WWW.
[19] Kenny Meesters,et al. A multidisciplinary perspective on supporting community disaster resilience in Nepal , 2016, ISCRAM.
[20] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[21] Sarah Vieweg,et al. Situational Awareness in Mass Emergency: A Behavioral and Linguistic Analysis of Microblogged Communications , 2012 .
[22] Bartel Van de Walle,et al. Humanitarian Information Management and Systems , 2008, Mobile Response.
[23] Muhammad Imran,et al. Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages , 2016, LREC.
[24] J. Harrald. Agility and Discipline: Critical Success Factors for Disaster Response , 2006 .
[25] Leysia Palen,et al. Microblogging during two natural hazards events: what twitter may contribute to situational awareness , 2010, CHI.
[26] Kalina Bontcheva,et al. Microblog-genre noise and impact on semantic annotation accuracy , 2013, HT.
[27] Fernando Diaz,et al. Extracting information nuggets from disaster- Related messages in social media , 2013, ISCRAM.
[28] Bartel Van de Walle,et al. #Help. The Reality of Social Media Use in Crisis Response: Lessons from a Realistic Crisis Exercise , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).
[29] Shafiq R. Joty,et al. Applications of Online Deep Learning for Crisis Response Using Social Media Information , 2016, ArXiv.
[30] Carsten Eickhoff,et al. Cognitive Biases in Crowdsourcing , 2018, WSDM.
[31] Kalina Bontcheva,et al. Broad Twitter Corpus: A Diverse Named Entity Recognition Resource , 2016, COLING.