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ORCIDSvetlana Kiritchenko
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2020 – today
- 2025
[j14]Kathleen C. Fraser, Hillary Dawkins, Svetlana Kiritchenko:
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods. J. Artif. Intell. Res. 82: 2233-2278 (2025)- [c48]Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla, Svetlana Kiritchenko:
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. NAACL (Long Papers) 2025: 5946-5991 - [c47]Georgina Curto, Svetlana Kiritchenko, Muhammad Hammad Fahim Siddiqui, Isar Nejadgholi, Kathleen C. Fraser:
Tackling Social Bias against the Poor: a Dataset and a Taxonomy on Aporophobia. NAACL (Findings) 2025: 6995-7016 - [i32]Georgina Curto, Svetlana Kiritchenko, Muhammad Hammad Fahim Siddiqui, Isar Nejadgholi, Kathleen C. Fraser:
Tackling Social Bias against the Poor: A Dataset and Taxonomy on Aporophobia. CoRR abs/2504.13085 (2025) - 2024
- [c46]Isar Nejadgholi, Kathleen C. Fraser, Anna Kerkhof, Svetlana Kiritchenko:
Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes. LREC/COLING 2024: 3005-3015 - [c45]Kathleen C. Fraser, Svetlana Kiritchenko:
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images. EACL (1) 2024: 690-713 - [c44]Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko:
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. EMNLP 2024: 19548-19564 - [c43]Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
How Does Stereotype Content Differ across Data Sources? *SEM@NAACL 2024: 18-34 - [i31]Kathleen C. Fraser
, Svetlana Kiritchenko:
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images. CoRR abs/2402.05779 (2024) - [i30]Phillip Howard, Anahita Bhiwandiwalla, Kathleen C. Fraser, Svetlana Kiritchenko:
Uncovering Bias in Large Vision-Language Models with Counterfactuals. CoRR abs/2404.00166 (2024) - [i29]Isar Nejadgholi, Kathleen C. Fraser, Anna Kerkhof, Svetlana Kiritchenko:
Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes. CoRR abs/2404.11845 (2024) - [i28]Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla, Svetlana Kiritchenko:
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. CoRR abs/2405.20152 (2024) - [i27]Kathleen C. Fraser, Hillary Dawkins, Svetlana Kiritchenko:
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods. CoRR abs/2406.15583 (2024) - [i26]Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko:
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse. CoRR abs/2410.00175 (2024) - 2023
- [j13]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c42]Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
Diversity is Not a One-Way Street: Pilot Study on Ethical Interventions for Racial Bias in Text-to-Image Systems. ICCC 2023: 288-292 - [i25]Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified? CoRR abs/2302.07159 (2023) - [i24]Georgina Curto, Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
The crime of being poor. CoRR abs/2303.14128 (2023) - [i23]Isar Nejadgholi, Svetlana Kiritchenko, Kathleen C. Fraser, Esma Balkir:
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers. CoRR abs/2307.01900 (2023) - 2022
- [j12]Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
Computational Modeling of Stereotype Content in Text. Frontiers Artif. Intell. 5: 826207 (2022) - [c41]Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. ACL (1) 2022: 5517-5529 - [c40]Isar Nejadgholi, Esma Balkir, Kathleen C. Fraser, Svetlana Kiritchenko:
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information. BlackboxNLP@EMNLP 2022: 225-237 - [c39]Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi:
Extracting Age-Related Stereotypes from Social Media Texts. LREC 2022: 3183-3194 - [c38]Esma Balkir, Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. NAACL-HLT 2022: 2672-2686 - [i22]Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. CoRR abs/2204.02261 (2022) - [i21]Esma Balkir, Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. CoRR abs/2205.03302 (2022) - [i20]Kathleen C. Fraser, Svetlana Kiritchenko, Esma Balkir:
Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy. CoRR abs/2205.12771 (2022) - [i19]Esma Balkir, Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models. CoRR abs/2206.03945 (2022) - [i18]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i17]Isar Nejadgholi, Esma Balkir, Kathleen C. Fraser, Svetlana Kiritchenko:
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information. CoRR abs/2210.10689 (2022) - 2021
- [j11]Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. J. Artif. Intell. Res. 71: 431-478 (2021) - [c37]Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko:
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. ACL/IJCNLP (1) 2021: 600-616 - [i16]Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko:
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. CoRR abs/2106.02596 (2021) - 2020
- [c36]Isar Nejadgholi, Svetlana Kiritchenko:
On Cross-Dataset Generalization in Automatic Detection of Online Abuse. WOAH 2020: 173-183 - [c35]Svetlana Kiritchenko, Will E. Hipson, Robert J. Coplan, Saif M. Mohammad:
SOLO: A Corpus of Tweets for Examining the State of Being Alone. LREC 2020: 1567-1577 - [i15]Svetlana Kiritchenko, Will E. Hipson, Robert J. Coplan, Saif M. Mohammad:
SOLO: A Corpus of Tweets for Examining the State of Being Alone. CoRR abs/2006.03096 (2020) - [i14]Isar Nejadgholi, Svetlana Kiritchenko:
On Cross-Dataset Generalization in Automatic Detection of Online Abuse. CoRR abs/2010.07414 (2020) - [i13]Svetlana Kiritchenko, Isar Nejadgholi:
Towards Ethics by Design in Online Abusive Content Detection. CoRR abs/2010.14952 (2020) - [i12]Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. CoRR abs/2012.12305 (2020)
2010 – 2019
- 2019
- [c34]Shima Asaadi, Saif M. Mohammad, Svetlana Kiritchenko:
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. NAACL-HLT (1) 2019: 505-516 - [i11]Sara Rosenthal, Saif M. Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. CoRR abs/1912.02387 (2019) - 2018
- [j10]Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez:
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. J. Am. Medical Informatics Assoc. 25(10): 1274-1283 (2018) - [c33]Saif M. Mohammad, Svetlana Kiritchenko:
Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories. LREC 2018 - [c32]Saif M. Mohammad, Svetlana Kiritchenko:
WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art. LREC 2018 - [c31]Michael Wojatzki, Saif M. Mohammad, Torsten Zesch, Svetlana Kiritchenko:
Quantifying Qualitative Data for Understanding Controversial Issues. LREC 2018 - [c30]Saif M. Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko:
SemEval-2018 Task 1: Affect in Tweets. SemEval@NAACL-HLT 2018: 1-17 - [c29]Habibeh Naderi, Behrouz Haji Soleimani, Saif M. Mohammad, Svetlana Kiritchenko, Stan Matwin:
DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning. SemEval@NAACL-HLT 2018: 305-312 - [c28]Svetlana Kiritchenko, Saif M. Mohammad:
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. *SEM@NAACL-HLT 2018: 43-53 - [c27]Michael Wojatzki, Torsten Zesch, Saif M. Mohammad, Svetlana Kiritchenko:
Agree or Disagree: Predicting Judgments on Nuanced Assertions. *SEM@NAACL-HLT 2018: 214-224 - [i10]Svetlana Kiritchenko, Saif M. Mohammad:
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. CoRR abs/1805.04508 (2018) - [i9]Svetlana Kiritchenko, Saif M. Mohammad:
Sentiment Composition of Words with Opposing Polarities. CoRR abs/1805.04542 (2018) - [i8]Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn:
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. CoRR abs/1805.04558 (2018) - 2017
- [j9]Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko:
Stance and Sentiment in Tweets. ACM Trans. Internet Techn. 17(3): 26:1-26:23 (2017) - [c26]Svetlana Kiritchenko, Saif M. Mohammad:
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. ACL (2) 2017: 465-470 - [c25]Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn:
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. SMM4H@AMIA 2017: 1-11 - [i7]Svetlana Kiritchenko, Saif M. Mohammad:
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling. CoRR abs/1712.01741 (2017) - [i6]Svetlana Kiritchenko, Saif M. Mohammad:
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. CoRR abs/1712.01765 (2017) - [i5]Svetlana Kiritchenko, Saif M. Mohammad:
The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition. CoRR abs/1712.01794 (2017) - 2016
- [j8]Saif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko:
How Translation Alters Sentiment. J. Artif. Intell. Res. 55: 95-130 (2016) - [j7]Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu:
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. Lang. Resour. Evaluation 50(1): 35-65 (2016) - [c24]Svetlana Kiritchenko, Saif M. Mohammad:
Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases. LREC 2016 - [c23]Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, Colin Cherry:
A Dataset for Detecting Stance in Tweets. LREC 2016 - [c22]Saif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko:
Sentiment Lexicons for Arabic Social Media. LREC 2016 - [c21]Svetlana Kiritchenko, Saif M. Mohammad:
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling. HLT-NAACL 2016: 811-817 - [c20]Svetlana Kiritchenko, Saif M. Mohammad:
Sentiment Composition of Words with Opposing Polarities. HLT-NAACL 2016: 1102-1108 - [c19]Saif M. Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, Colin Cherry:
SemEval-2016 Task 6: Detecting Stance in Tweets. SemEval@NAACL-HLT 2016: 31-41 - [c18]Svetlana Kiritchenko, Saif M. Mohammad, Mohammad Salameh:
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases. SemEval@NAACL-HLT 2016: 42-51 - [c17]Parinaz Sobhani, Saif M. Mohammad, Svetlana Kiritchenko:
Detecting Stance in Tweets And Analyzing its Interaction with Sentiment. *SEM@ACL 2016 - [c16]Svetlana Kiritchenko, Saif M. Mohammad:
The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition. WASSA@NAACL-HLT 2016: 43-52 - [i4]Saif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko:
Stance and Sentiment in Tweets. CoRR abs/1605.01655 (2016) - 2015
- [j6]Saif M. Mohammad, Svetlana Kiritchenko:
Using Hashtags to Capture Fine Emotion Categories from Tweets. Comput. Intell. 31(2): 301-326 (2015) - [j5]Saif M. Mohammad, Xiaodan Zhu, Svetlana Kiritchenko, Joel D. Martin:
Sentiment, emotion, purpose, and style in electoral tweets. Inf. Process. Manag. 51(4): 480-499 (2015) - [c15]Mohammad Salameh, Saif M. Mohammad, Svetlana Kiritchenko:
Sentiment after Translation: A Case-Study on Arabic Social Media Posts. HLT-NAACL 2015: 767-777 - [c14]Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif M. Mohammad, Alan Ritter, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2015: 451-463 - 2014
- [j4]Svetlana Kiritchenko, Xiaodan Zhu, Saif M. Mohammad:
Sentiment Analysis of Short Informal Texts. J. Artif. Intell. Res. 50: 723-762 (2014) - [c13]Xiaodan Zhu, Hongyu Guo, Saif M. Mohammad, Svetlana Kiritchenko:
An Empirical Study on the Effect of Negation Words on Sentiment. ACL (1) 2014: 304-313 - [c12]Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, Saif M. Mohammad:
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews. SemEval@COLING 2014: 437-442 - [c11]Xiaodan Zhu, Svetlana Kiritchenko, Saif M. Mohammad:
NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets. SemEval@COLING 2014: 443-447 - 2013
- [j3]Xiaodan Zhu, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Berry de Bruijn:
Detecting concept relations in clinical text: Insights from a state-of-the-art model. J. Biomed. Informatics 46(2): 275-285 (2013) - [c10]Saif M. Mohammad, Svetlana Kiritchenko, Joel D. Martin:
Identifying purpose behind electoral tweets. WISDOM 2013: 1:1-1:9 - [c9]Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu:
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. SemEval@NAACL-HLT 2013: 321-327 - [i3]Saif M. Mohammad, Svetlana Kiritchenko, Xiaodan Zhu:
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. CoRR abs/1308.6242 (2013) - [i2]Saif M. Mohammad, Svetlana Kiritchenko:
Using Nuances of Emotion to Identify Personality. CoRR abs/1309.6352 (2013) - [i1]Saif M. Mohammad, Svetlana Kiritchenko, Joel D. Martin:
Identifying Purpose Behind Electoral Tweets. CoRR abs/1311.1194 (2013) - 2011
- [j2]Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Xiaodan Zhu:
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. J. Am. Medical Informatics Assoc. 18(5): 557-562 (2011) - [c8]Svetlana Kiritchenko, Colin Cherry:
Lexically-Triggered Hidden Markov Models for Clinical Document Coding. ACL 2011: 742-751 - [c7]Svetlana Kiritchenko, Stan Matwin:
Email classification with co-training. CASCON 2011: 301-312 - 2010
- [j1]Svetlana Kiritchenko, Berry de Bruijn, Simona Carini, Joel D. Martin, Ida Sim:
ExaCT: automatic extraction of clinical trial characteristics from journal publications. BMC Medical Informatics Decis. Mak. 10: 56 (2010)
2000 – 2009
- 2008
- [c6]Berry de Bruijn, Simona Carini, Svetlana Kiritchenko, Joel D. Martin, Ida Sim:
Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications. AMIA 2008 - [c5]Svetlana Kiritchenko, Mikhail Jiline:
Keyword Optimization in Sponsored Search via Feature Selection. FSDM 2008: 122-134 - 2006
- [c4]Svetlana Kiritchenko, Stan Matwin, Richard Nock, A. Fazel Famili:
Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. Canadian AI 2006: 395-406 - 2004
- [c3]Svetlana Kiritchenko, Stan Matwin, Suhayya Abu-Hakima:
Email Classification with Temporal Features. Intelligent Information Systems 2004: 523-533 - 2002
- [c2]Svetlana Kiritchenko, Stan Matwin:
Generalized Features: Their Application to Classification. AAAI/IAAI 2002: 985 - 2001
- [c1]Svetlana Kiritchenko, Stan Matwin:
Email classification with co-training. CASCON 2001: 8
Coauthor Index
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