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Learning Internal Representations by Error Propagation
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Frustratingly easy domain adaptation
Daume III, H. (2007) · 2007
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Visualizing data using t-sne
Maaten, L. v. d. and Hinton, G. (2008) · 2008
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The self-fulfilling effects of contemporary sexism: How the well-being and behavior of women is affected by the subtle discrimination they encounter
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Moral Self-Licensing: When Being Good Frees Us to Be Bad
Merritt, A. C., Effron, D. A., and Monin, B. (2010) · 2010
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A survey on transfer learning
Pan, S. J. and Yang, Q. (2010) · 2010
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Vader: A parsimonious rule-based model for sentiment analysis of social media text
Hutto, C. J. and Gilbert, E. (2014) · 2014
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Glove: Global vectors for word representation
Pennington, J., Socher, R., and Manning, C. (2014) · 2014
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Antisocial behavior in online discussion communities
Cheng, J., Danescu-Niculescu-Mizil, C., and Leskovec, J. (2015) · 2015
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Deep learning
LeCun, Y., Bengio, Y., and Hinton, G. (2015) · 2015
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Racism as a determinant of health: A systematic review and meta-analysis
Paradies, Y., Ben, J., Denson, N., Elias, A., Priest, N., Pieterse, A., Gupta, A., Kelaher, M., and Gee, G. (2015) · 2015
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Are you a racist or am I seeing things? Annotator influence on hate speech detection on Twitter
Waseem, Z. (2016) · 2016
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Hateful symbols or hateful people? predictive features for hate speech detection on twitter
Waseem, Z. and Hovy, D. (2016) · 2016
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Deep Learning for Hate Speech Detection in Tweets
Badjatiya, P., Gupta, S., Gupta, M., and Varma, V. (2017) · 2017
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Mean birds: Detecting aggression and bullying on Twitter
Chatzakou, D., Kourtellis, N., Blackburn, J., De Cristofaro, E., Stringhini, G., and Vakali, A. (2017) · 2017
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Automated hate speech detection and the problem of offensive language
Davidson, T., Warmsley, D., Macy, M. W., and Weber, I. (2017) · 2017
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One-step and two-step classification for abusive language detection on Twitter
Park, J. H. and Fung, P. (2017) · 2017
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Automatic differentiation in pytorch
Paszke, A., Gross, S., Chintala, S., et al. (2017) · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L. u., and Polosukhin, I. (2017) · 2017
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Ex machina: Personal attacks seen at scale
Wulczyn, E., Thain, N., and Dixon, L. (2017) · 2017
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Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
Agrawal, S. and Awekar, A. (2018) · 2018
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Bridging the Gaps: Multi Task Learning for Domain Transfer of Hate Speech Detection
Waseem, Z., Thorne, J., and Bingel, J. (2018) · 2018
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Detecting hate speech on Twitter using a convolution-GRU based deep neural network
Zhang, Z., Robinson, D., and Tepper, J. (2018) · 2018
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Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations
Badjatiya, P., Gupta, M., and Varma, V. (2019) · 2019
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Attention is not Explanation
Jain, S. and Wallace, B. C. (2019) · 2019
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Fuzzy Multi-task Learning for Hate Speech Type Identification
Liu, H., Burnap, P., Alorainy, W., and Williams, M. L. (2019) · 2019
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The effects of user features on Twitter hate speech detection
Fehn Unsvåg, E. and Gambäck, B. (2018) · 2018
Cited alongside, same era.
A Survey on Automatic Detection of Hate Speech in Text
Fortuna, P. and Nunes, S. (2018) · 2018
Cited alongside, same era.
A unified deep learning architecture for abuse detection
Founta, A.-M., Chatzakou, D., Kourtellis, N., Blackburn, J., Vakali, A., and Leontiadis, I. (2018) · 2018
Cited alongside, same era.
Cross-domain detection of abusive language online
Karan, M. and Šnajder, J. (2018) · 2018
Cited alongside, same era.
Benchmarking Aggression Identification in Social Media
Kumar, R., Ojha, A. K., Malmasi, S., and Zampieri, M. (2018) · 2018
Cited alongside, same era.
Hatebusters: a web application for actively reporting YouTube hate speech
Lange, J., Mollas, I., and Tsoumakas, G. (2018) · 2018
Cited alongside, same era.
Pamungkas, E. W. and Patti, V. (2019) · 2019
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Detecting and monitoring hate speech in twitter
Pereira-Kohatsu, J. C., Quijano-Sánchez, L., Liberatore, F., and Camacho-Collados, M. (2019) · 2019
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Why facebook is losing the war on hate speech in myanmar
Reuters (2018) · 2019
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“contro l’odio”: A platform for detecting, monitoring and visualizing hate speech against immigrants in italian social media
Capozzi, A., Lai, M., Basile, V., Poletto, F., Sanguinetti, M., Bosco, C., Patti, V., Ruffo, G., Musto, C., Polignano, M., Semeraro, G., and Stranisci, M. (2020) · 2020
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A deep neural network based multi-task learning approach to hate speech detection
Kapil, P. and Ekbal, A. (2020) · 2020
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Detecting and visualizing hate speech in social media: A cyber watchdog for surveillance
Modha, S., Majumder, P., Mandl, T., and Mandalia, C. (2020) · 2020
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A bert-based transfer learning approach for hate speech detection in online social media
Mozafari, M., Farahbakhsh, R., and Crespi, N. (2020) · 2020
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Joint modelling of emotion and abusive language detection
Rajamanickam, S., Mishra, P., Yannakoudakis, H., and Shutova, E. (2020) · 2020
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Angrybert: Joint learning target and emotion for hate speech detection
Awal, M. R., Cao, R., Lee, R. K.-W., and Mitrovic, S. (2021) · 2021
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