Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
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[1] M. Alicke. Culpable control and the psychology of blame. , 2000, Psychological bulletin.
[2] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[3] Gorjan Alagic,et al. #p , 2019, Quantum information & computation.
[4] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[5] Olivia Nicol. No Body to Kick, No Soul to Damn: Responsibility and Accountability for the Financial Crisis (2007–2010) , 2018 .
[6] C. Bail. Combining natural language processing and network analysis to examine how advocacy organizations stimulate conversation on social media , 2016, Proceedings of the National Academy of Sciences.
[7] Diarmuid Ó Séaghdha,et al. Multi-way classification of semantic relations between pairs of nominals , 2009, HLT-NAACL 2009.
[8] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[9] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[10] Makoto Miwa,et al. End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures , 2016, ACL.
[11] Eduard H. Hovy,et al. Sentiment Analysis on the People's Daily , 2014, EMNLP.
[12] C. Hood. The Blame Game: Spin, Bureaucracy, and Self-Preservation in Government , 2010 .
[13] Neil Malhotra,et al. Attributing Blame: The Public's Response to Hurricane Katrina , 2008, The Journal of Politics.
[14] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[15] Brendan T. O'Connor,et al. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series , 2010, ICWSM.
[16] David Bamman,et al. Open Extraction of Fine-Grained Political Statements , 2015, EMNLP.
[17] D. Tourish,et al. Metaphors of Failure and the Failures of Metaphor: A Critical Study of Root Metaphors used by Bankers in Explaining the Banking Crisis , 2012 .
[18] James Tilley,et al. Blaming Europe?: Responsibility Without Accountability in the European Union , 2014 .
[19] P. Bearman,et al. Lexical shifts, substantive changes, and continuity in State of the Union discourse, 1790–2014 , 2015, Proceedings of the National Academy of Sciences.
[20] Lyle H. Ungar,et al. Beyond Binary Labels: Political Ideology Prediction of Twitter Users , 2017, ACL.
[21] Tim Groseclose,et al. A Measure of Media Bias , 2005 .
[22] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[23] Kelly G. Shaver,et al. The attribution of blame : causality, responsibility, and blameworthiness , 1985 .
[24] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[25] Tsuyoshi Murata,et al. {m , 1934, ACML.
[26] José A. Olmeda. Governing After Crisis: A reversal of fortune: blame games and framing contests after the 3/11 terrorist attacks in Madrid , 2008 .
[27] Ralph Grishman,et al. Relation Extraction: Perspective from Convolutional Neural Networks , 2015, VS@HLT-NAACL.
[28] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[29] David Luttrell,et al. Assessing the costs and consequences of the 2007–09 financial crisis and its aftermath , 2013 .
[30] Saif Mohammad,et al. SemEval-2016 Task 6: Detecting Stance in Tweets , 2016, *SEMEVAL.