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The detection of offensive language in the context of a dialogue has become an increasingly important application of natural language processing.
The second conversational intelligence challenge (convai2)
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, et al. 2019 · 1902
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Semeval-2019 task 6: Identifying and categorizing offensive language in social media (offenseval)
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, and Ritesh Kumar. 2019 · 1903
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Searching for safety online: Managing” trolling” in a feminist forum
Susan Herring, Kirk Job-Sluder, Rebecca Scheckler, and Sasha Barab. 2002 · 2002
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Beyond vandalism: Wikipedia trolls
Pnina Shachaf and Noriko Hara. 2010 · 2010
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Representations of ‘trolls’ in mass media communication: a review of media-texts and moral panics relating to ‘internet trolling’
Jonathan Bishop. 2014 · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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Supervised machine learning for the detection of troll profiles in twitter social network: Application to a real case of cyberbullying
Patxi Galán-García, José Gaviria de la Puerta, Carlos Laorden Gómez, Igor Santos, and Pablo García Bringas. 2016 · 2016
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Build it, break it, fix it: Contesting secure development
Andrew Ruef, Michael Hicks, James Parker, Dave Levin, Michelle L Mazurek, and Piotr Mardziel. 2016 · 2016
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Analyzing the targets of hate in online social media
Leandro Silva, Mainack Mondal, Denzil Correa, Fabrício Benevenuto, and Ingmar Weber. 2016 · 2016
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Anyone can become a troll: Causes of trolling behavior in online discussions
Justin Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec, and Michael Bernstein. 2017 · 2017
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Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
Earlier work this paper cites.
Towards linguistically generalizable nlp systems: A workshop and shared task
Allyson Ettinger, Sudha Rao, Hal Daumé III, and Emily M Bender. 2017 · 2017
Cited alongside, same era.
Deceiving google’s perspective api built for detecting toxic comments
Hossein Hosseini, Sreeram Kannan, Baosen Zhang, and Radha Poovendran. 2017 · 2017
Cited alongside, same era.
Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2017 · 2017
Cited alongside, same era.
Adversarial learning for neural dialogue generation
Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, and Dan Jurafsky. 2017 · 2017
Cited alongside, same era.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017 . Association for Computational Linguistics
Martha Palmer, Rebecca Hwa, and Sebastian Riedel, editors. 2017 · 2017
Hotflip: White-box adversarial examples for text classification
Javid Ebrahimi, Anyi Rao, Daniel Lowd, and Dejing Dou. 2018 · 2018
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Toxic comment classification challenge
Google. 2018 · 2018
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All you need is” love”: Evading hate-speech detection
Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, and N Asokan. 2018 · 2018
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Ethical challenges in data-driven dialogue systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, and Joelle Pineau. 2018 · 2018
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Detecting offensive content in open-domain conversations using two stage semi-supervision
Chandra Khatri, Behnam Hedayatnia, Rahul Goel, Anushree Venkatesh, Raefer Gabriel, and Arindam Mandal. 2018 · 2018
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Why we should have seen that coming: comments on microsoft’s tay experiment, and wider implications
Marty J Wolf, K Miller, and Frances S Grodzinsky. 2017 · 2017
Cited alongside, same era.
Ex machina: Personal attacks seen at scale
Ellery Wulczyn, Nithum Thain, and Lucas Dixon. 2017 · 2017
Cited alongside, same era.
6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings . OpenReview.net
2018 · 2018
Cited alongside, same era.
Synthetic and natural noise both break neural machine translation
Yonatan Belinkov and Yonatan Bisk. 2018 · 2018
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Large scale gan training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Benchmarking aggression identification in social media
Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, and Marcos Zampieri. 2018 · 2018
Later among the works it cites.
Machine learning suites for online toxicity detection
David Noever. 2018 · 2018
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Mastering the dungeon: Grounded language learning by mechanical turker descent
Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
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Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
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Perceptual-sensitive gan for generating adversarial patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, and Dacheng Tao. 2019 · 2019
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Adversarial examples for evaluating reading comprehension systems
Robin Jia and Percy Liang. 2017 · 2031
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