DisKnow: A Social-Driven Disaster Support Knowledge Extraction System
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Ricardo Ribeiro | Mariana Dias | João C. Ferreira | João Boné | J. Ferreira | R. Ribeiro | J. Boné | Mariana Dias
[1] Makarand Hastak,et al. Social network analysis: Characteristics of online social networks after a disaster , 2018, Int. J. Inf. Manag..
[2] Harith Alani,et al. On Semantics and Deep Learning for Event Detection in Crisis Situations , 2017 .
[3] Bertrand De Longueville,et al. "OMG, from here, I can see the flames!": a use case of mining location based social networks to acquire spatio-temporal data on forest fires , 2009, LBSN '09.
[4] Ralph Grishman,et al. Event Detection and Domain Adaptation with Convolutional Neural Networks , 2015, ACL.
[5] Anuj R. Jaiswal,et al. Analytics : Applications in Crisis Management , 2011 .
[6] Vassilis Kostakos,et al. CrisisTracker: Crowdsourced social media curation for disaster awareness , 2013, IBM J. Res. Dev..
[7] B. Karlin,et al. Communicating flood risk: Looking back and forward at traditional and social media outlets , 2016 .
[8] Md. Yusuf Sarwar Uddin,et al. On diversifying source selection in social sensing , 2012, 2012 Ninth International Conference on Networked Sensing (INSS).
[9] Ashir Ahmed,et al. Use of Social Media in Disaster Management , 2011, ICIS.
[10] KhreichWael,et al. A Survey of Techniques for Event Detection in Twitter , 2015, CI 2015.
[11] Michiaki Tatsubori,et al. Social web in disaster archives , 2012, WWW.
[12] Vassilis Kostakos,et al. A real-time social media aggregation tool: Reflections from five large-scale events , 2011 .
[13] Vassilis Kostakos,et al. Towards Real-time Emergency Response using Crowd Supported Analysis of Social Media , 2011 .
[14] Yutaka Matsuo,et al. Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.
[15] Fernando Diaz,et al. Extracting information nuggets from disaster- Related messages in social media , 2013, ISCRAM.
[16] Alexander Zipf,et al. An Advanced Systematic Literature Review on Spatiotemporal Analyses of Twitter Data , 2015, Trans. GIS.
[17] KimJooho,et al. Social Network Analysis , 2018 .
[18] George Kurian,et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation , 2016, ArXiv.
[19] Jason Palmer. Emergency 2.0 is coming to a website near you , 2008 .
[20] Wael Khreich,et al. A Survey of Techniques for Event Detection in Twitter , 2015, Comput. Intell..
[21] David A Asch,et al. Decoding twitter: Surveillance and trends for cardiac arrest and resuscitation communication. , 2013, Resuscitation.
[22] Shirley Williams,et al. What do people study when they study Twitter? Classifying Twitter related academic papers , 2013, J. Documentation.
[23] Heidi Kreibich,et al. Social media as an information source for rapid flood inundation mapping , 2015 .
[24] Percy Liang,et al. Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings , 2017, ACL.
[25] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[26] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[27] Leysia Palen,et al. Pass it on?: Retweeting in mass emergency , 2010, ISCRAM.
[28] H. Rao,et al. Twitter as a Rapid Response News Service: An Exploration in the Context of the 2008 China Earthquake , 2010, Electron. J. Inf. Syst. Dev. Ctries..
[29] Leysia Palen,et al. Microblogging during two natural hazards events: what twitter may contribute to situational awareness , 2010, CHI.
[30] Pompeu Casanovas,et al. Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods , 2013, AICOL.
[31] Robert S. Chen,et al. Natural Disaster Hotspots: A Global Risk Analysis , 2005 .
[32] Jennifer Duke,et al. Methodological considerations in analyzing Twitter data. , 2013, Journal of the National Cancer Institute. Monographs.
[33] Patrick Weber,et al. OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.
[34] Eva Blomqvist,et al. Roadmapping discussion summary:social media and linked data for emergency response , 2013, ESWC 2013.
[35] Fernando Diaz,et al. CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises , 2014, ICWSM.
[36] Firoj Alam,et al. CrisisDPS: Crisis Data Processing Services , 2019, ISCRAM.
[37] Leysia Palen,et al. Chatter on the red: what hazards threat reveals about the social life of microblogged information , 2010, CSCW '10.
[38] Ibrahim Demir,et al. Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma , 2019, Int. J. Digit. Earth.