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Decision-makers in the humanitarian sector rely on timely and exact information during crisis events.
Calibration of encoder decoder models for neural machine translation
Aviral Kumar and Sunita Sarawagi. 2019 · 1903
Earlier work this paper cites.
Project theory
Jack Vincent. 1979 · 1979
Earlier work this paper cites.
A conflict-cooperation scale for WEIS events data
Joshua Goldstein. 1992 · 1992
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Corpus-level evaluation for event QA: The IndiaPoliceEvents corpus covering the 2002 Gujarat violence
Andrew Halterman, Katherine Keith, Sheikh Sarwar, and Brendan O’Connor. 2021 · 2002
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According to need? Needs assessment and decision-making in the humanitarian sector
James Darcy and Charles-Antoine Hofmann. 2003 · 2003
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The Logic of Violence in Civil War
Stathis N. Kalyvas. 2006 · 2006
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TABARI: Textual analysis by augmented replacement instructions
Philip A. Schrodt. 2009 · 2009
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Extraction and approximation of numerical attributes from the web
Dmitry Davidov and Ari Rappoport. 2010 · 2010
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Introducing ACLED-armed conflict location and event data
Clionadh Raleigh, Andrew Linke, Håvard Hegre, and Joakim Karlsen. 2010 · 2010
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EquatorNLP: Pattern-based information extraction for disaster response
Lars Döhling and Ulf Leser. 2011 · 2011
Earlier work this paper cites.
Practical extraction of disaster-relevant information from social media
Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, and Patrick Meier. 2013 · 2013
Earlier work this paper cites.
Challenges to counting and classifying victims of violence in conflict, post-conflict, and non-conflict settings
Keith Krause. 2013 · 2013
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The challenge of counting victims of human trafficking: Not on the record: A multiple systems estimation of the numbers of human trafficking victims in the Netherlands in 2010–2015 by year, age, gender, and type of exploitation
Maarten Cruyff, Jan van Dijk, and Peter G. M. van der Heijden. 2017 · 2015
Earlier work this paper cites.
Calibrated structured prediction
Volodymyr Kuleshov and Percy S Liang. 2015 · 2015
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Posterior calibration and exploratory analysis for natural language processing models
Khanh Nguyen and Brendan O’Connor. 2015 · 2015
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Obtaining well calibrated probabilities using bayesian binning
Mahdi Pakdaman Naeini, Gregory Cooper, and Milos Hauskrecht. 2015 · 2015
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Reasoning about quantities in natural language
Subhro Roy, Tim Vieira, and Dan Roth. 2015 · 2015
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EMTerms 1.0: A terminological resource for crisis tweets
Irina P. Temnikova, Carlos Castillo, and Sarah Vieweg. 2015 · 2015
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Nonviolent and violent campaigns and outcomes 3.0: Effects of tactical choices on strategic outcomes codebook
Orion A. Lewis, Erica Chenoweth, and Jonathan Pinckney. 2016 · 2016
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Political instability task force atrocities event data collection codebook
Philip A. Schrodt and Jay Ulfelder. 2016 · 2016
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Beyond zeroes and ones: The intensity and dynamics of civil conflict
Stephen Chaudoin, Zachary Peskowitz, and Christopher Stanton. 2017 · 2017
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger. 2017 · 2017
Earlier work this paper cites.
Identifying civilians killed by police with distantly supervised entity-event extraction
Katherine Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, and Brendan O’Connor. 2017 · 2017
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Tracing armed conflicts with diachronic word embedding models
Andrey Kutuzov, Erik Velldal, and Lilja Øvrelid. 2017 · 2017
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Leveraging uncertainty information from deep neural networks for disease detection
Christian Leibig, Vaneeda Allken, Murat Seçkin Ayhan, Philipp Berens, and Siegfried Wahl. 2017 · 2017
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PETRARCH2: Another event coding program
Clayton Norris, Philip Schrodt, and John Beieler. 2017 · 2017
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EMM: Supporting the Analyst by Turning Multilingual Text into Structured Data
Ralf Steinberger, Martin Atkinson, Teofilo Domingo, Erik van der Goot, Jens Linge, Charles Macmillan, Hristo Tanev, and Gerhard Wagner. 2017 · 2017
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Improving humanitarian needs assessments through natural language processing
Tino Kreutzer, Patrick Vinck, Phuong N. Pham, Aijun An, Lora Appel, Eric DeLuca, Grace Tang, Muath Alzghool, Kusum Hachhethu, Bobi Morris, Sandie L. Walton-Ellery, John Crowley, and James Orbinski. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Hot under the collar: A latent measure of interstate hostility
Zhanna Terechshenko. 2020 · 2020
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On the inference calibration of neural machine translation
Shuo Wang, Zhaopeng Tu, Shuming Shi, and Yang Liu. 2020 · 2020
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Mastering the media hype: Methods for deduplication of conflict events from news reports
Vanni Zavarella, Jakub Piskorski, Camelia Ignat, Hristo Tanev, and Martin Atkinson. 2020 · 2020
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In the spotlight: Analyzing sequential attention effects in protest reporting
Sebastian Hellmeier, Nils B. Weidmann, and Espen Geelmuyden Rød. 2018 · 2018
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European media monitor (EMM)
JRC Science Hub. 2018 · 2018
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Accurate uncertainties for deep learning using calibrated regression
Volodymyr Kuleshov, Nathan Fenner, and Stefano Ermon. 2018 · 2018
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Extracting and summarizing situational information from the Twitter social media during disasters
Koustav Rudra, Niloy Ganguly, Pawan Goyal, and Saptarshi Ghosh. 2018 · 2018
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QANet: Combining local convolution with global self-attention for reading comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao Zhao, Kai Chen, Mohammad Norouzi Norouzi, and Quoc V. Le. 2018 · 2018
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Investigating the relationship between earthquakes and online news
Stephen Camilleri, Joel Azzopardi, and Matthew R. Agius. 2019 · 2019
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DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, and Matt Gardner. 2019 · 2019
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Yunfeng Zhang, Q. Vera Liao, and Rachel K. E. Bellamy. 2020 · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba. 2021 · 2021
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Intersectionality and invisible victims: Reflections on data challenges and vicarious trauma in femicide, family and intimate partner homicide research
Patricia Cullen, Myrna Dawson, Jenna Price, and James Rowlands. 2021 · 2021
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Autoregressive entity retrieval
Nicola De Cao, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. 2021 · 2021
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How can we know when language models know? On the calibration of language models for question answering
Zhengbao Jiang, Jun Araki, Haibo Ding, and Graham Neubig. 2021 · 2021
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SeismographAPI: Visualising temporal-spatial crisis data
Raphael Lepuschitz and Niklas Stoehr. 2021 · 2021
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Show your work: Scratchpads for intermediate computation with language models
Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, and Augustus Odena. 2021 · 2021
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Automated dictionary generation for political eventcoding
Benjamin J. Radford. 2021 · 2021
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Classifying dyads for militarized conflict analysis
Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, and Ryan Cotterell. 2021 · 2021
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Representing numbers in NLP: a survey and a vision
Avijit Thawani, Jay Pujara, Filip Ilievski, and Pedro Szekely. 2021 · 2021
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Calibration tests beyond classification
David Widmann, Fredrik Lindsten, and Dave Zachariah. 2021 · 2021
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NT5?! Training T5 to perform numerical reasoning
Peng-Jian Yang, Ying Ting Chen, Yuechan Chen, and Daniel Cer. 2021 · 2021
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Rethinking the event coding pipeline with prompt entailment
Clement Lefebvre and Niklas Stoehr. 2022 · 2022
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Solving quantitative reasoning problems with language models
Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, and Vedant Misra. 2022 · 2022
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An ordinal latent variable model of conflict intensity
Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, and Aaron Schein. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2022 · 2022
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The Ordered Matrix Dirichlet for modeling ordinal dynamics
Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, and Aaron Schein. 2023 · 2023
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