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Recently research has started focusing on avoiding undesired effects that come with content moderation, such as censorship and overblocking, when dealing with hatred online.
Transfertransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019 · 1901
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, and Yejin Choi. 2019 · 1904
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
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Argument generation with retrieval, planning, and realization
Xinyu Hua, Zhe Hu, and Lu Wang. 2019 · 1906
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
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Detecting offensive tweets via topical feature discovery over a large scale twitter corpus
Guang Xiang, Bin Fan, Ling Wang, Jason Hong, and Carolyn Rose. 2012 · 1984
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Type/token ratios: What do they really tell us?
Brian Richards. 1987 · 1987
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Stochastic text generation
Jon Oberlander and Chris Brew. 2000 · 2000
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Confidence estimation for machine translation
John Blatz, Erin Fitzgerald, George Foster, Simona Gandrabur, Cyril Goutte, Alex Kulesza, Alberto Sanchis, and Nicola Ueffing. 2004 · 2004
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An implementation of a flexible author-reviewer model of generation using genetic algorithms
Ruli Manurung, Graeme Ritchie, and Henry Thompson. 2008 · 2008
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Estimating machine translation post-editing effort with hter
Lucia Specia and Atefeh Farzindar. 2010 · 2010
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Ohchr expert workshops on the prohibition of incitement to national, racial or religious hatred
Heiner Bielefeldt, Frank La Rue, and Githu Muigai. 2011 · 2011
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Detecting hate speech on the world wide web
William Warner and Julia Hirschberg. 2012 · 2012
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Cache-based online adaptation for machine translation enhanced computer assisted translation
Nicola Bertoldi, Mauro Cettolo, and Marcello Federico. 2013 · 2013
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Coping with the subjectivity of human judgements in mt quality estimation
Marco Turchi, Matteo Negri, and Marcello Federico. 2013 · 2013
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Countering dangerous speech: New ideas for genocide prevention
Susan Benesch. 2014 · 2014
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The repetition rate of text as a predictor of the effectiveness of machine translation adaptation
Mauro Cettolo, Nicola Bertoldi, and Marcello Federico. 2014 · 2014
Cited alongside, same era.
Cyber hate speech on twitter: An application of machine classification and statistical modeling for policy and decision making
Pete Burnap and Matthew L Williams. 2015 · 2015
Cited alongside, same era.
A lexicon-based approach for hate speech detection
Njagi Dennis Gitari, Zhang Zuping, Hanyurwimfura Damien, and Jun Long. 2015 · 2015
Cited alongside, same era.
Detection of cyberbullying incidents on the instagram social network
Homa Hosseinmardi, Sabrina Arredondo Mattson, Rahat Ibn Rafiq, Richard Han, Qin Lv, and Shivakant Mishra. 2015 · 2015
Cited alongside, same era.
Counterspeech on twitter: A field study
Susan Benesch, Derek Ruths, Kelly P Dillon, Haji Mohammad Saleem, and Lucas Wright. 2016 · 2016
Cited alongside, same era.
Augmenting neural response generation with context-aware topical attention
Nouha Dziri, Ehsan Kamalloo, Kory W Mathewson, and Osmar Zaiane. 2018 · 2018
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A survey on automatic detection of hate speech in text
Paula Fortuna and Sérgio Nunes. 2018 · 2018
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Hate speech dataset from a white supremacy forum
Ona de Gibert, Naiara Perez, Aitor Garcıa-Pablos, and Montse Cuadros. 2018 · 2018
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Examining a hate speech corpus for hate speech detection and popularity prediction
Filip Klubička and Raquel Fernández. 2018 · 2018
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Benchmarking aggression identification in social media
Ritesh Kumar, Atul Kr Ojha, Shervin Malmasi, and Marcos Zampieri. 2018 · 2018
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Us and them: identifying cyber hate on twitter across multiple protected characteristics
Pete Burnap and Matthew L Williams. 2016 · 2016
Cited alongside, same era.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Cited alongside, same era.
Governing hate speech by means of counterspeech on facebook
Carla Schieb and Mike Preuss. 2016 · 2016
Cited alongside, same era.
Analyzing the targets of hate in online social media
Leandro Araújo Silva, Mainack Mondal, Denzil Correa, Fabrício Benevenuto, and Ingmar Weber. 2016 · 2016
Cited alongside, same era.
The impact of counter-narratives
Tanya Silverman, Christopher J Stewart, Jonathan Birdwell, and Zahed Amanullah. 2016 · 2016
Cited alongside, same era.
Are you a racist or am i seeing things? annotator influence on hate speech detection on twitter
Zeerak Waseem. 2016 · 2016
Cited alongside, same era.
Hateful symbols or hateful people? predictive features for hate speech detection on twitter
Zeerak Waseem and Dirk Hovy. 2016 · 2016
Cited alongside, same era.
Binny Mathew, Navish Kumar, Pawan Goyal, Animesh Mukherjee, et al. 2018 · 2018
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Creating a whatsapp dataset to study pre-teen cyberbullying
Rachele Sprugnoli, Stefano Menini, Sara Tonelli, Filippo Oncini, and Enrico Piras. 2018 · 2018
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The varieties of feminist counterspeech in the misogynistic online world
Scott R Stroud and William Cox. 2018 · 2018
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Sentigan: Generating sentimental texts via mixture adversarial networks
Ke Wang and Xiaojun Wan. 2018 · 2018
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Diversity-promoting GAN: A cross-entropy based generative adversarial network for diversified text generation
Jingjing Xu, Xuancheng Ren, Junyang Lin, and Xu Sun. 2018 · 2018
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CONAN - COunter NArratives through nichesourcing: a multilingual dataset of responses to fight online hate speech
Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, and Marco Guerini. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Large-scale transfer learning for natural language generation
Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, and Thomas Wolf. 2019 · 2019
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A just and comprehensive strategy for using NLP to address online abuse
David Jurgens, Libby Hemphill, and Eshwar Chandrasekharan. 2019 · 2019
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Thou shalt not hate: Countering online hate speech
Binny Mathew, Punyajoy Saha, Hardik Tharad, Subham Rajgaria, Prajwal Singhania, Suman Kalyan Maity, Pawan Goyal, and Animesh Mukherjee. 2019 · 2019
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A benchmark dataset for learning to intervene in online hate speech
Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, and William Yang Wang. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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