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The forum r/AmITheAsshole in Reddit hosts discussion on moral issues based on concrete narratives presented by users.
Beyond predictive accuracy: what
Christophe Giraud-Carrier · 1998
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Predicting judicial decisions of the european court of human rights: A natural language processing perspective
Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoţiuc-Pietro, and Vasileios Lampos · 2016
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Semeval-2016 task 6: Detecting stance in tweets
Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, and Colin Cherry · 2016
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pkudblab at semeval-2016 task 6: A specific convolutional neural network system for effective stance detection
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Mitre at semeval-2016 task 6: Transfer learning for stance detection
Guido Zarrella and Amy Marsh · 2016
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Twitter stance detection—a subjectivity and sentiment polarity inspired two-phase approach
Kuntal Dey, Ritvik Shrivastava, and Saroj Kaushik · 2017
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Stance classification of tweets using skip char ngrams
Yaakov HaCohen-Kerner, Ziv Ido, and Ronen Ya’akobov · 2017
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Grasp: Rich patterns for argumentation mining
Eyal Shnarch, Ran Levy, Vikas Raykar, and Noam Slonim · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Stance detection on tweets: An svm-based approach
Dilek Küçük and Fazli Can · 2018
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A two-phase sentiment analysis approach for judgement prediction
Yi-Hung Liu and Yen-Liang Chen · 2018
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Stance classification of multi-perspective consumer health information
Anirban Sen, Manjira Sinha, Sandya Mannarswamy, and Shourya Roy · 2018
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Stance detection in web and social media: a comparative study
Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, and Saptarshi Ghosh · 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
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Huggingface’s transformers: State-of-the-art natural language processing
Aita for making this? a public dataset of reddit posts about moral dilemmas, 2020
Elle O’Brien · 2020
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Morality classification in natural language text
Matheus C Pavan, Vitor G Dos Santos, Alex GJ Lan, Joao Martins, Wesley R Santos, Caio Deutsch, Pablo B Costa, Fernando C Hsieh, and Ivandre Paraboni · 2020
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Predicting outcomes of legal cases based on legal factors using classifiers
Rafe Athar Shaikh, Tirath Prasad Sahu, and Veena Anand · 2020
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Learning from noisy labels with deep neural networks: A survey
Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, and Jae-Gil Lee · 2020
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Analysis of moral judgement on reddit
Nicholas Botzer, Shawn Gu, and Tim Weninger · 2021
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Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 2019
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The pushshift reddit dataset
Jason Baumgartner, Savvas Zannettou, Brian Keegan, Megan Squire, and Jeremy Blackburn · 2020
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Predicting judicial outcomes in the brazilian legal system using textual features
Vithor Gomes Ferreira Bertalan and Evandro Eduardo Seron Ruiz · 2020
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Find: human-in-the-loop debugging deep text classifiers
Piyawat Lertvittayakumjorn, Lucia Specia, and Francesca Toni · 2020
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The extended moral foundations dictionary (emfd): Development and applications of a crowd-sourced approach to extracting moral intuitions from text
Frederic R Hopp, Jacob T Fisher, Devin Cornell, Richard Huskey, and René Weber · 2021
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Grasp: A library for extracting and exploring human-interpretable textual patterns
Piyawat Lertvittayakumjorn, Leshem Choshen, Eyal Shnarch, and Francesca Toni · 2021
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Zeyu Yun, Yubei Chen, Bruno A Olshausen, and Yann LeCun · 2021
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