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Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model


Jun 04, 2021
Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko

* In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) 

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Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective


Dec 22, 2020
Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser


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On Cross-Dataset Generalization in Automatic Detection of Online Abuse


Nov 03, 2020
Isar Nejadgholi, Svetlana Kiritchenko

* 13 pages, 3 figures, accepted to WOAH-2020 (The 4th Workshop on Online Abuse and Harms) 

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Towards Ethics by Design in Online Abusive Content Detection


Oct 28, 2020
Svetlana Kiritchenko, Isar Nejadgholi

* 14 pages, 2 figures 

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SOLO: A Corpus of Tweets for Examining the State of Being Alone


Jun 04, 2020
Svetlana Kiritchenko, Will E. Hipson, Robert J. Coplan, Saif M. Mohammad

* In Proceedings of the 12th edition of the Language Resources and Evaluation Conference (LREC), May 2020 

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SemEval-2015 Task 10: Sentiment Analysis in Twitter


Dec 05, 2019
Sara Rosenthal, Saif M Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov

* SemEval-2015 
* Sentiment analysis, sentiment towards a topic, quantification, microblog sentiment analysis; Twitter opinion mining 

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NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake


May 11, 2018
Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn

* In Proceedings of the Social Media Mining for Health Applications Workshop at AMIA-2017, Washington, DC, USA, 2017 

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Sentiment Composition of Words with Opposing Polarities


May 11, 2018
Svetlana Kiritchenko, Saif M. Mohammad

* In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), San Diego, California, 2016 

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Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems


May 11, 2018
Svetlana Kiritchenko, Saif M. Mohammad

* In Proceedings of the 7th Joint Conference on Lexical and Computational Semantics (*SEM), New Orleans, USA, 2018 

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The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition


Dec 05, 2017
Svetlana Kiritchenko, Saif M. Mohammad

* In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), San Diego, California, 2016 

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Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation


Dec 05, 2017
Svetlana Kiritchenko, Saif M. Mohammad

* In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), Vancouver, Canada, 2017 

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Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling


Dec 05, 2017
Svetlana Kiritchenko, Saif M. Mohammad

* In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), San Diego, California, 2016 

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Stance and Sentiment in Tweets


May 05, 2016
Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko

* 22 pages 

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Identifying Purpose Behind Electoral Tweets


Nov 05, 2013
Saif M. Mohammad, Svetlana Kiritchenko, Joel Martin

* In Proceedings of the KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM-2013), August 2013, Chicago, USA 

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Using Nuances of Emotion to Identify Personality


Sep 24, 2013
Saif M. Mohammad, Svetlana Kiritchenko

* In Proceedings of the ICWSM Workshop on Computational Personality Recognition, July 2013, Boston, USA 

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NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets


Aug 28, 2013
Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu

* In Proceedings of the seventh international workshop on Semantic Evaluation Exercises (SemEval-2013), June 2013, Atlanta, USA 

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