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Ideology is at the core of political science research.
Clinicalbert: Modeling clinical notes and predicting hospital readmission
Kexin Huang, Jaan Altosaar, and Rajesh Ranganath. 2019 · 1904
Earlier work this paper cites.
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
H. B. Mann and D. R. Whitney. 1947 · 1947
Earlier work this paper cites.
On the concept of ideology in political science
Willard A. Mullins. 1972 · 1972
Earlier work this paper cites.
Decline of a paradigm? bias and objectivity in news media studies
Robert A Hackett. 1984 · 1984
Earlier work this paper cites.
A spatial model for legislative roll call analysis
Keith T Poole and Howard Rosenthal. 1985 · 1985
Earlier work this paper cites.
Voter ideology in western democracies, 1946–1989
Heemin Kim and Richard C Fording. 1998 · 1989
Earlier work this paper cites.
Framing: Toward clarification of a fractured paradigm
Robert M. Entman. 1993 · 1993
Earlier work this paper cites.
Comparing interest group scores across time and chambers: Adjusted ada scores for the us congress
Tim Groseclose, Steven D Levitt, and James M Snyder. 1999 · 1999
Earlier work this paper cites.
Putting parties in their place: Inferring party left-right ideological positions from party manifestos data
Matthew J Gabel and John D Huber. 2000 · 2000
Earlier work this paper cites.
Extracting policy positions from political texts using words as data
Michael Laver, Kenneth Benott, and John Garry. 2003 · 2003
Earlier work this paper cites.
Mining and summarizing customer reviews
Minqing Hu and Bing Liu. 2004 · 2004
Earlier work this paper cites.
Deep learning for political science
Kakia Chatsiou and Slava Jankin Mikhaylov. 2020 · 2005
Earlier work this paper cites.
Genre and institutions: Social processes in the workplace and school
Frances Christie and James R Martin. 2005 · 2005
Earlier work this paper cites.
Recognizing contextual polarity in phrase-level sentiment analysis
Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005 · 2005
Earlier work this paper cites.
Ideology and political theory
Michael Freeden. 2006 · 2006
Earlier work this paper cites.
Get out the vote: Determining support or opposition from congressional floor-debate transcripts
Matt Thomas, Bo Pang, and Lillian Lee. 2006 · 2006
Earlier work this paper cites.
Finbert: A pretrained language model for financial communications
Yi Yang, Mark Christopher Siy Uy, and Allen Huang. 2020 · 2006
Earlier work this paper cites.
Framing bias: Media in the distribution of power
Robert M. Entman. 2007 · 2007
Earlier work this paper cites.
Recounting the courts? applying automated content analysis to enhance empirical legal research
Michael Evans, Wayne McIntosh, Jimmy Lin, and Cynthia Cates. 2007 · 2007
Earlier work this paper cites.
The strength of issues: Using multiple measures to gauge preference stability, ideological constraint, and issue voting
Stephen Ansolabehere, Jonathan Rodden, and James M Snyder. 2008 · 2008
Earlier work this paper cites.
Political polarization in the american public
Morris P. Fiorina and Samuel J. Abrams. 2008 · 2008
Earlier work this paper cites.
Classifying party affiliation from political speech
Bei Yu, Stefan Kaufmann, and Daniel Diermeier. 2008 · 2008
Earlier work this paper cites.
Incorporating count-based features into pre-trained models for improved stance detection
Anushka Prakash and Harish Tayyar Madabushi. 2020 · 2010
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011 · 2011
Earlier work this paper cites.
The ideological mapping of american legislatures
Boris Shor and Nolan McCarty. 2011 · 2011
Earlier work this paper cites.
Language and ideology in congress
Daniel Diermeier, Jean-François Godbout, Bei Yu, and Stefan Kaufmann. 2012 · 2012
Earlier work this paper cites.
A cross-lingual dictionary for English Wikipedia concepts
Valentin I. Spitkovsky and Angel X. Chang. 2012 · 2012
Earlier work this paper cites.
Stance classification using dialogic properties of persuasion
Marilyn A. Walker, Pranav Anand, Rob Abbott, and Ricky Grant. 2012 · 2012
Earlier work this paper cites.
Mapping the ideological marketplace
Adam Bonica. 2013 · 2013
Earlier work this paper cites.
Stance classification of ideological debates: Data, models, features, and constraints
Kazi Saidul Hasan and Vincent Ng. 2013 · 2013
Earlier work this paper cites.
Political ideology detection using recursive neural networks
Mohit Iyyer, Peter Enns, Jordan L. Boyd-Graber, and Philip Resnik. 2014 · 2014
Earlier work this paper cites.
The Stanford CoreNLP natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014 · 2014
Cited alongside, same era.
Tweeting from left to right: Is online political communication more than an echo chamber?
Pablo Barberá, John T. Jost, Jonathan Nagler, Joshua A. Tucker, and Richard Bonneau. 2015 · 2015
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What is ideology?
John Levi Martin. 2015 · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015 · 2015
Cited alongside, same era.
Stance detection with bidirectional conditional encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, and Kalina Bontcheva. 2016 · 2016
Cited alongside, same era.
Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor S. Lempitsky. 2016 · 2016
Examining political trustworthiness through text-based measures of ideology
Eitan Sapiro-Gheiler. 2019 · 2019
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Tweet stance detection using an attention based neural ensemble model
Umme Aymun Siddiqua, Abu Nowshed Chy, and Masaki Aono. 2019 · 2019
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Vernon-fenwick at semeval-2019 task 4: Hyperpartisan news detection using lexical and semantic features
Vertika Srivastava, Ankita Gupta, Divya Prakash, Sudeep Kumar Sahoo, Rohit R. R, and Yeon Hyang Kim. 2019 · 2019
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Ernie: Enhanced representation through knowledge integration
Yu Sun, Shuohuan Wang, Yukun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, and Hua Wu. 2019 · 2019
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BERT has a mouth, and it must speak: BERT as a Markov random field language model
Alex Wang and Kyunghyun Cho. 2019 · 2019
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Cited alongside, same era.
Asymmetric politics: Ideological Republicans and group interest Democrats
Matt Grossmann and David A Hopkins. 2016 · 2016
Cited alongside, same era.
Semeval-2016 task 6: Detecting stance in tweets
Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiao-Dan Zhu, and Colin Cherry. 2016a · 2016
Cited alongside, same era.
pkudblab at semeval-2016 task 6 : A specific convolutional neural network system for effective stance detection
Wan Wei, Xiao Zhang, Xuqin Liu, Wei Chen, and Tengjiao Wang. 2016 · 2016
Cited alongside, same era.
MITRE at semeval-2016 task 6: Transfer learning for stance detection
Guido Zarrella and Amy Marsh. 2016 · 2016
Cited alongside, same era.
Ethical considerations in NLP shared tasks
Carla Parra Escartín, Wessel Reijers, Teresa Lynn, Joss Moorkens, Andy Way, and Chao-Hong Liu. 2017 · 2017
Cited alongside, same era.
Beyond binary labels: Political ideology prediction of Twitter users
Daniel Preoţiuc-Pietro, Ye Liu, Daniel Hopkins, and Lyle Ungar. 2017 · 2017
Cited alongside, same era.
Tom jumbo-grumbo at semeval-2019 task 4: Hyperpartisan news detection with glove vectors and SVM
Chia-Lun Yeh, Babak Loni, and Anne Schuth. 2019 · 2019
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
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Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations
Emily Allaway and Kathleen McKeown. 2020 · 2020
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We can detect your bias: Predicting the political ideology of news articles
Ramy Baly, Giovanni Da San Martino, James R. Glass, and Preslav Nakov. 2020 · 2020
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Analyzing ELMo and DistilBERT on socio-political news classification
Berfu Büyüköz, Ali Hürriyetoğlu, and Arzucan Özgür. 2020 · 2020
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Unsupervised user stance detection on twitter
Kareem Darwish, Peter Stefanov, Michaël J. Aupetit, and Preslav Nakov. 2020 · 2020
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What you see is all there is
Benjamin Enke. 2020 · 2020
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Polibert: Classifying political social media messages with bert
Shloak Gupta, S Bolden, Jay Kachhadia, A Korsunska, and J Stromer-Galley. 2020 · 2020
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
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Realm: Retrieval-augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2020
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
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A bert-based ensemble model for chinese news topic prediction
Jingang Liu, Chunhe Xia, Xiaojian Li, Haihua Yan, and Tengteng Liu. 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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Masked language model scoring
Julian Salazar, Davis Liang, Toan Q. Nguyen, and Katrin Kirchhoff. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments
Abdulrahman I. Al-Ghadir, Aqil M. Azmi, and Amir Hussain. 2021 · 2021
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Identifying hidden coalitions in the us house of representatives by optimally partitioning signed networks based on generalized balance
Samin Aref and Zachary P Neal. 2021 · 2021
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Inference time style control for summarization
Shuyang Cao and Lu Wang. 2021 · 2021
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Human rationales as attribution priors for explainable stance detection
Sahil Jayaram and Emily Allaway. 2021 · 2021
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Fakebert: Fake news detection in social media with a bert-based deep learning approach
Rohit Kumar Kaliyar, Anurag Goswami, and Pratik Narang. 2021 · 2021
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Knowledge enhanced masked language model for stance detection
Kornraphop Kawintiranon and Lisa Singh. 2021 · 2021
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Voteview: Congressional roll-call votes database
Jeffrey Lewis, Keith Poole, Howard Rosenthal, Adam Boche, Aaron Rudkin, and Luke Sonnet. 2021 · 2021
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Mitigating political bias in language models through reinforced calibration
Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, and Soroush Vosoughi. 2021 · 2021
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Exploiting cloze questions for few shot text classification and natural language inference
Timo Schick and Hinrich Schütze. 2021 · 2021
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The manifesto data collection. manifesto project (mrg/cmp/marpor). version 2021a
Andrea Volkens, Tobias Burst, Werner Krause, Pola Lehmann, Theres Matthieß, Nicolas Merz, Sven Regel, Bernhard Weßels, and Lisa Zehnter. 2021 · 2021
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Cross-partisan discussions on youtube: Conservatives talk to liberals but liberals don’t talk to conservatives
Siqi Wu and Paul Resnick. 2021 · 2021
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