Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods.

Svetlana Kiritchenko https://orcid.org/0000-0003-2550-3918

Kathleen C. Fraser Hillary Dawkins Svetlana Kiritchenko Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods. 2233-2278 2025 82 J. Artif. Intell. Res. https://doi.org/10.1613/jair.1.16665 db/journals/jair/jair82.html#FraserDK25 streams/journals/jair

Hillary Dawkins Kathleen C. Fraser Svetlana Kiritchenko When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text. 13494-13527 2025 ACL (Findings) https://doi.org/10.18653/v1/2025.findings-acl.695 https://aclanthology.org/2025.findings-acl.695/ conf/acl/2025f db/conf/acl/acl2025f.html#DawkinsFK25 Svetlana Kiritchenko Anna Kerkhof Isar Nejadgholi Kathleen C. Fraser From Perceived Effectiveness to Measured Impact: Identity-Aware Evaluation of Automated Counter-Stereotypes. 2025 IAAI/ALA@ECAI https://ceur-ws.org/Vol-4136/iaai4.pdf conf/iaai2/2025 db/conf/iaai2/iaai2025.html#KiritchenkoKNF25 Phillip Howard Kathleen C. Fraser Anahita Bhiwandiwalla Svetlana Kiritchenko Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. 5946-5991 2025 NAACL (Long Papers) https://doi.org/10.18653/v1/2025.naacl-long.305 https://aclanthology.org/2025.naacl-long.305/ conf/naacl/2025-1 db/conf/naacl/naacl2025-1.html#HowardFBK25 streams/conf/naacl 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. 6995-7016 2025 NAACL (Findings) https://doi.org/10.18653/v1/2025.findings-naacl.388 https://aclanthology.org/2025.findings-naacl.388/ conf/naacl/2025f db/conf/naacl/naacl2025f.html#CurtoKSNF25 streams/conf/naacl

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. 2025 April abs/2504.13085 CoRR https://doi.org/10.48550/arXiv.2504.13085 db/journals/corr/corr2504.html#abs-2504-13085 streams/journals/corr

Hillary Dawkins Kathleen C. Fraser Svetlana Kiritchenko When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text. 2025 June abs/2506.09975 CoRR https://doi.org/10.48550/arXiv.2506.09975 db/journals/corr/corr2506.html#abs-2506-09975 streams/journals/corr

Kathleen C. Fraser Hillary Dawkins Isar Nejadgholi Svetlana Kiritchenko Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency. 2025 June abs/2506.17209 CoRR https://doi.org/10.48550/arXiv.2506.17209 db/journals/corr/corr2506.html#abs-2506-17209 streams/journals/corr

Svetlana Kiritchenko Anna Kerkhof Isar Nejadgholi Kathleen C. Fraser From Perceived Effectiveness to Measured Impact: Identity-Aware Evaluation of Automated Counter-Stereotypes. 2025 October abs/2510.23523 CoRR https://doi.org/10.48550/arXiv.2510.23523 db/journals/corr/corr2510.html#abs-2510-23523 streams/journals/corr

Isar Nejadgholi Kathleen C. Fraser Anna Kerkhof Svetlana Kiritchenko Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes. 3005-3015 2024 LREC/COLING https://aclanthology.org/2024.lrec-main.268 conf/coling/2024 db/conf/coling/coling2024.html#NejadgholiFKK24 Kathleen C. Fraser Svetlana Kiritchenko Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images. 690-713 2024 EACL (1) https://doi.org/10.18653/v1/2024.eacl-long.41 https://aclanthology.org/2024.eacl-long.41 conf/eacl/2024-1 db/conf/eacl/eacl2024-1.html#FraserK24 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. 19548-19564 2024 EMNLP https://doi.org/10.18653/v1/2024.emnlp-main.1090 https://aclanthology.org/2024.emnlp-main.1090 conf/emnlp/2024 db/conf/emnlp/emnlp2024.html#GuoNDFK24 Kathleen C. Fraser Svetlana Kiritchenko Isar Nejadgholi How Does Stereotype Content Differ across Data Sources? 18-34 2024 *SEM@NAACL https://doi.org/10.18653/v1/2024.starsem-1.2 conf/starsem/2024 db/conf/starsem/starsem2024.html#FraserKN24

Kathleen C. Fraser Svetlana Kiritchenko Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images. 2024 abs/2402.05779 CoRR https://doi.org/10.48550/arXiv.2402.05779 db/journals/corr/corr2402.html#abs-2402-05779

Phillip Howard Anahita Bhiwandiwalla Kathleen C. Fraser Svetlana Kiritchenko Uncovering Bias in Large Vision-Language Models with Counterfactuals. 2024 abs/2404.00166 CoRR https://doi.org/10.48550/arXiv.2404.00166 db/journals/corr/corr2404.html#abs-2404-00166

Phillip Howard Kathleen C. Fraser Anahita Bhiwandiwalla Svetlana Kiritchenko Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. 2024 abs/2405.20152 CoRR https://doi.org/10.48550/arXiv.2405.20152 db/journals/corr/corr2405.html#abs-2405-20152

Kathleen C. Fraser Hillary Dawkins Svetlana Kiritchenko Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods. 2024 abs/2406.15583 CoRR https://doi.org/10.48550/arXiv.2406.15583 db/journals/corr/corr2406.html#abs-2406-15583

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. 2024 abs/2410.00175 CoRR https://doi.org/10.48550/arXiv.2410.00175 db/journals/corr/corr2410.html#abs-2410-00175 streams/journals/corr

Aarohi Srivastava Abhinav Rastogi Abhishek Rao Abu Awal Md Shoeb Abubakar Abid Adam Fisch Adam R. Brown Adam Santoro Aditya Gupta 0001 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 0001 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 0001 Daniel Freeman Daniel Khashabi Daniel Levy 0002 Daniel Moseguí González Danielle Perszyk Danny Hernandez Danqi Chen 0001 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 0010 Hannah Rashkin Hannaneh Hajishirzi Harsh Mehta Hayden Bogar Henry Shevlin Hinrich Schütze Hiromu Yakura Hongming Zhang 0009 Hugh Mee Wong Ian Ng Isaac Noble Jaap Jumelet Jack Geissinger Jackson Kernion Jacob Hilton Jaehoon Lee 0001 Jaime Fernández Fisac James B. Simon James Koppel James Zheng James Zou 0001 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 0001 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 0001 Katerina Ignatyeva Katja Markert Kaustubh D. Dhole Kevin Gimpel Kevin Omondi Kory W. Mathewson Kristen Chiafullo Ksenia Shkaruta Kumar Shridhar Kyle McDonell Kyle Richardson 0001 Laria Reynolds Leo Gao Li Zhang 0039 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 0001 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 0001 Nathan A. Chi Nayeon Lee Neta Gur-Ari Krakover Nicholas Cameron 0001 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 0001 Qinlang Chen 0001 Rabin Banjade Rachel Etta Rudolph Raefer Gabriel Rahel Habacker Ramon Risco Raphaël Millière Rhythm Garg Richard Barnes 0002 Rif A. Saurous Riku Arakawa Robbe Raymaekers Robert Frank 0001 Rohan Sikand Roman Novak Roman Sitelew Ronan LeBras Rosanne Liu Rowan Jacobs Rui Zhang 0037 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 0004 Sean Casey Sebastian Bischoff 0001 Sebastian Gehrmann Sebastian Schuster 0001 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 0039 Tao Yu 0009 Tariq Ali Tatsu Hashimoto Te-Lin Wu Théo Desbordes Theodore Rothschild Thomas Phan Tianle Wang 0009 Tiberius Nkinyili Timo Schick Timofei Kornev Titus Tunduny Tobias Gerstenberg Trenton Chang Trishala Neeraj Tushar Khot Tyler Shultz Uri Shaham 0002 Vedant Misra Vera Demberg Victoria Nyamai Vikas Raunak Vinay V. Ramasesh Vinay Uday Prabhu Vishakh Padmakumar Vivek Srikumar William Fedus William Saunders William Zhang 0004 Wout Vossen Xiang Ren 0001 Xiaoyu Tong Xinran Zhao Xinyi Wu Xudong Shen Yadollah Yaghoobzadeh Yair Lakretz Yangqiu Song Yasaman Bahri Yejin Choi 0001 Yichi Yang Yiding Hao Yifu Chen Yonatan Belinkov Yu Hou Yufang Hou 0001 Yuntao Bai Zachary Seid Zhuoye Zhao Zijian Wang 0002 Zijie J. Wang Zirui Wang Ziyi Wu Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=uyTL5Bvosj db/journals/tmlr/tmlr2023.html#SrivastavaRRSAF23

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. 288-292 2023 ICCC https://computationalcreativity.net/iccc23/papers/ICCC-2023_paper_97.pdf conf/icccrea/2023 db/conf/icccrea/icccrea2023.html#FraserKN23 streams/conf/icccrea

Kathleen C. Fraser Svetlana Kiritchenko Isar Nejadgholi A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified? 2023 abs/2302.07159 CoRR https://doi.org/10.48550/arXiv.2302.07159 db/journals/corr/corr2302.html#abs-2302-07159

Georgina Curto Svetlana Kiritchenko Isar Nejadgholi Kathleen C. Fraser The crime of being poor. 2023 abs/2303.14128 CoRR https://doi.org/10.48550/arXiv.2303.14128 db/journals/corr/corr2303.html#abs-2303-14128

Isar Nejadgholi Svetlana Kiritchenko Kathleen C. Fraser Esma Balkir Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers. 2023 abs/2307.01900 CoRR https://doi.org/10.48550/arXiv.2307.01900 db/journals/corr/corr2307.html#abs-2307-01900

Kathleen C. Fraser Svetlana Kiritchenko Isar Nejadgholi Computational Modeling of Stereotype Content in Text. 826207 2022 5 Frontiers Artif. Intell. https://doi.org/10.3389/frai.2022.826207 db/journals/frai/frai5.html#FraserKN22

Isar Nejadgholi Kathleen C. Fraser Svetlana Kiritchenko Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. 5517-5529 2022 ACL (1) https://doi.org/10.18653/v1/2022.acl-long.378 https://aclanthology.org/2022.acl-long.378 https://www.wikidata.org/entity/Q131458730 conf/acl/2022-1 db/conf/acl/acl2022-1.html#NejadgholiFK22 Isar Nejadgholi Esma Balkir Kathleen C. Fraser Svetlana Kiritchenko Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information. 225-237 2022 BlackboxNLP@EMNLP https://doi.org/10.18653/v1/2022.blackboxnlp-1.18 https://aclanthology.org/2022.blackboxnlp-1.18 conf/blackboxnlp/2022 db/conf/blackboxnlp/blackboxnlp2022.html#NejadgholiBFK22 Kathleen C. Fraser Svetlana Kiritchenko Isar Nejadgholi Extracting Age-Related Stereotypes from Social Media Texts. 3183-3194 2022 LREC https://aclanthology.org/2022.lrec-1.341 conf/lrec/2022 db/conf/lrec/lrec2022.html#FraserKN22 Esma Balkir Isar Nejadgholi Kathleen C. Fraser Svetlana Kiritchenko Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. 2672-2686 2022 NAACL-HLT https://doi.org/10.18653/v1/2022.naacl-main.192 https://aclanthology.org/2022.naacl-main.192 conf/naacl/2022 db/conf/naacl/naacl2022.html#BalkirNFK22

Isar Nejadgholi Kathleen C. Fraser Svetlana Kiritchenko Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. 2022 abs/2204.02261 CoRR https://doi.org/10.48550/arXiv.2204.02261 db/journals/corr/corr2204.html#abs-2204-02261

Esma Balkir Isar Nejadgholi Kathleen C. Fraser Svetlana Kiritchenko Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection. 2022 abs/2205.03302 CoRR https://doi.org/10.48550/arXiv.2205.03302 db/journals/corr/corr2205.html#abs-2205-03302

Kathleen C. Fraser Svetlana Kiritchenko Esma Balkir Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy. 2022 abs/2205.12771 CoRR https://doi.org/10.48550/arXiv.2205.12771 db/journals/corr/corr2205.html#abs-2205-12771

Esma Balkir Svetlana Kiritchenko Isar Nejadgholi Kathleen C. Fraser Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models. 2022 abs/2206.03945 CoRR https://doi.org/10.48550/arXiv.2206.03945 db/journals/corr/corr2206.html#abs-2206-03945

Aarohi Srivastava Abhinav Rastogi Abhishek Rao Abu Awal Md Shoeb Abubakar Abid Adam Fisch Adam R. Brown Adam Santoro Aditya Gupta 0001 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 0001 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 0001 Daniel Freeman Daniel Khashabi Daniel Levy 0002 Daniel Moseguí González Danielle Perszyk Danny Hernandez Danqi Chen 0001 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 0010 Hannah Rashkin Hannaneh Hajishirzi Harsh Mehta Hayden Bogar Henry Shevlin Hinrich Schütze Hiromu Yakura Hongming Zhang 0009 Hugh Mee Wong Ian Ng Isaac Noble Jaap Jumelet Jack Geissinger Jackson Kernion Jacob Hilton Jaehoon Lee 0001 Jaime Fernández Fisac James B. Simon James Koppel James Zheng James Zou 0001 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 0001 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 0001 Katerina Ignatyeva Katja Markert Kaustubh D. Dhole Kevin Gimpel Kevin Omondi Kory W. Mathewson Kristen Chiafullo Ksenia Shkaruta Kumar Shridhar Kyle McDonell Kyle Richardson 0001 Laria Reynolds Leo Gao Li Zhang 0039 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 0001 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 0001 Nathan A. Chi Nayeon Lee Neta Gur-Ari Krakover Nicholas Cameron 0001 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 0001 Qinlang Chen 0001 Rabin Banjade Rachel Etta Rudolph Raefer Gabriel Rahel Habacker Ramon Risco Raphaël Millière Rhythm Garg Richard Barnes 0002 Rif A. Saurous Riku Arakawa Robbe Raymaekers Robert Frank 0001 Rohan Sikand Roman Novak Roman Sitelew Ronan LeBras Rosanne Liu Rowan Jacobs Rui Zhang 0037 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 0004 Sean Casey Sebastian Bischoff 0001 Sebastian Gehrmann Sebastian Schuster 0001 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 0039 Tao Yu 0009 Tariq Ali Tatsu Hashimoto Te-Lin Wu Théo Desbordes Theodore Rothschild Thomas Phan Tianle Wang 0009 Tiberius Nkinyili Timo Schick Timofei Kornev Titus Tunduny Tobias Gerstenberg Trenton Chang Trishala Neeraj Tushar Khot Tyler Shultz Uri Shaham 0002 Vedant Misra Vera Demberg Victoria Nyamai Vikas Raunak Vinay V. Ramasesh Vinay Uday Prabhu Vishakh Padmakumar Vivek Srikumar William Fedus William Saunders William Zhang 0004 Wout Vossen Xiang Ren 0001 Xiaoyu Tong Xinran Zhao Xinyi Wu Xudong Shen Yadollah Yaghoobzadeh Yair Lakretz Yangqiu Song Yasaman Bahri Yejin Choi 0001 Yichi Yang Yiding Hao Yifu Chen Yonatan Belinkov Yu Hou Yufang Hou 0001 Yuntao Bai Zachary Seid Zhuoye Zhao Zijian Wang 0002 Zijie J. Wang Zirui Wang Ziyi Wu Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. 2022 abs/2206.04615 CoRR https://doi.org/10.48550/arXiv.2206.04615 https://www.wikidata.org/entity/Q112325337 db/journals/corr/corr2206.html#abs-2206-04615

Isar Nejadgholi Esma Balkir Kathleen C. Fraser Svetlana Kiritchenko Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information. 2022 abs/2210.10689 CoRR https://doi.org/10.48550/arXiv.2210.10689 db/journals/corr/corr2210.html#abs-2210-10689

Svetlana Kiritchenko Isar Nejadgholi Kathleen C. Fraser Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. 431-478 2021 71 J. Artif. Intell. Res. https://doi.org/10.1613/jair.1.12590 https://www.wikidata.org/entity/Q130866561 db/journals/jair/jair71.html#KiritchenkoNF21

Kathleen C. Fraser Isar Nejadgholi Svetlana Kiritchenko Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. 600-616 2021 ACL/IJCNLP (1) https://doi.org/10.18653/v1/2021.acl-long.50 https://aclanthology.org/2021.acl-long.50 conf/acl/2021-1 db/conf/acl/acl2021-1.html#FraserNK20

Kathleen C. Fraser Isar Nejadgholi Svetlana Kiritchenko Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model. 2021 abs/2106.02596 CoRR https://arxiv.org/abs/2106.02596 db/journals/corr/corr2106.html#abs-2106-02596

Isar Nejadgholi Svetlana Kiritchenko On Cross-Dataset Generalization in Automatic Detection of Online Abuse. 173-183 2020 WOAH https://doi.org/10.18653/v1/2020.alw-1.20 conf/acl-alw/2020 db/conf/acl-alw/acl-alw2020.html#NejadgholiK20 Svetlana Kiritchenko Will E. Hipson Robert J. Coplan Saif M. Mohammad SOLO: A Corpus of Tweets for Examining the State of Being Alone. 1567-1577 2020 LREC https://aclanthology.org/2020.lrec-1.195/ conf/lrec/2020 db/conf/lrec/lrec2020.html#KiritchenkoHCM20

Svetlana Kiritchenko Will E. Hipson Robert J. Coplan Saif M. Mohammad SOLO: A Corpus of Tweets for Examining the State of Being Alone. 2020 abs/2006.03096 CoRR https://arxiv.org/abs/2006.03096 db/journals/corr/corr2006.html#abs-2006-03096

Isar Nejadgholi Svetlana Kiritchenko On Cross-Dataset Generalization in Automatic Detection of Online Abuse. 2020 abs/2010.07414 CoRR https://arxiv.org/abs/2010.07414 db/journals/corr/corr2010.html#abs-2010-07414

Svetlana Kiritchenko Isar Nejadgholi Towards Ethics by Design in Online Abusive Content Detection. 2020 abs/2010.14952 CoRR https://arxiv.org/abs/2010.14952 db/journals/corr/corr2010.html#abs-2010-14952

Svetlana Kiritchenko Isar Nejadgholi Kathleen C. Fraser Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. 2020 abs/2012.12305 CoRR https://arxiv.org/abs/2012.12305 db/journals/corr/corr2012.html#abs-2012-12305

Shima Asaadi Saif M. Mohammad Svetlana Kiritchenko Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. 505-516 2019 NAACL-HLT (1) https://doi.org/10.18653/v1/n19-1050 https://aclanthology.org/N19-1050/ conf/naacl/2019-1 db/conf/naacl/naacl2019-1.html#AsaadiMK19

Sara Rosenthal Saif M. Mohammad Preslav Nakov Alan Ritter Svetlana Kiritchenko Veselin Stoyanov SemEval-2015 Task 10: Sentiment Analysis in Twitter. 2019 abs/1912.02387 CoRR http://arxiv.org/abs/1912.02387 db/journals/corr/corr1912.html#abs-1912-02387

Abeed Sarker Maksim Belousov Jasper Friedrichs Kai Hakala Svetlana Kiritchenko Farrokh Mehryary Sifei Han Tung Tran 0001 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. 1274-1283 2018 25 J. Am. Medical Informatics Assoc. 10 https://doi.org/10.1093/jamia/ocy114 https://www.wikidata.org/entity/Q57056737 db/journals/jamia/jamia25.html#SarkerBFHKMHTRK18

Saif M. Mohammad Svetlana Kiritchenko Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories. 2018 LREC conf/lrec/2018 db/conf/lrec/lrec2018.html#MohammadK18 http://www.lrec-conf.org/proceedings/lrec2018/summaries/957.html Saif M. Mohammad Svetlana Kiritchenko WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art. 2018 LREC conf/lrec/2018 db/conf/lrec/lrec2018.html#MohammadK18a http://www.lrec-conf.org/proceedings/lrec2018/summaries/966.html Michael Wojatzki Saif M. Mohammad Torsten Zesch Svetlana Kiritchenko Quantifying Qualitative Data for Understanding Controversial Issues. 2018 LREC conf/lrec/2018 db/conf/lrec/lrec2018.html#WojatzkiMZK18 http://www.lrec-conf.org/proceedings/lrec2018/summaries/321.html Saif M. Mohammad Felipe Bravo-Marquez Mohammad Salameh Svetlana Kiritchenko SemEval-2018 Task 1: Affect in Tweets. 1-17 2018 SemEval@NAACL-HLT https://doi.org/10.18653/v1/s18-1001 https://aclanthology.org/S18-1001/ https://orkg.org/orkg/resource/R140863 conf/semeval/2018 db/conf/semeval/semeval2018.html#MohammadBSK18 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. 305-312 2018 SemEval@NAACL-HLT https://doi.org/10.18653/v1/s18-1045 https://aclanthology.org/S18-1045/ conf/semeval/2018 db/conf/semeval/semeval2018.html#NaderiSMKM18 Svetlana Kiritchenko Saif M. Mohammad Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. 43-53 2018 *SEM@NAACL-HLT https://doi.org/10.18653/v1/s18-2005 https://aclanthology.org/S18-2005/ conf/starsem/2018 db/conf/starsem/starsem2018.html#KiritchenkoM18 Michael Wojatzki Torsten Zesch Saif M. Mohammad Svetlana Kiritchenko Agree or Disagree: Predicting Judgments on Nuanced Assertions. 214-224 2018 *SEM@NAACL-HLT https://doi.org/10.18653/v1/s18-2026 https://aclanthology.org/S18-2026/ conf/starsem/2018 db/conf/starsem/starsem2018.html#WojatzkiZMK18

Svetlana Kiritchenko Saif M. Mohammad Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. 2018 abs/1805.04508 CoRR http://arxiv.org/abs/1805.04508 db/journals/corr/corr1805.html#abs-1805-04508

Svetlana Kiritchenko Saif M. Mohammad Sentiment Composition of Words with Opposing Polarities. 2018 abs/1805.04542 CoRR http://arxiv.org/abs/1805.04542 db/journals/corr/corr1805.html#abs-1805-04542

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. 2018 abs/1805.04558 CoRR http://arxiv.org/abs/1805.04558 db/journals/corr/corr1805.html#abs-1805-04558

Saif M. Mohammad Parinaz Sobhani Svetlana Kiritchenko Stance and Sentiment in Tweets. 26:1-26:23 2017 17 ACM Trans. Internet Techn. 3 https://doi.org/10.1145/3003433 db/journals/toit/toit17.html#MohammadSK17

Svetlana Kiritchenko Saif M. Mohammad Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. 465-470 2017 ACL (2) https://doi.org/10.18653/v1/P17-2074 conf/acl/2017-2 db/conf/acl/acl2017-2.html#KiritchenkoM17 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. 1-11 2017 SMM4H@AMIA https://ceur-ws.org/Vol-1996/paper1.pdf conf/amia/2017smm4h db/conf/amia/smm4h2017.html#KiritchenkoMMB17

Svetlana Kiritchenko Saif M. Mohammad Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling. 2017 abs/1712.01741 CoRR http://arxiv.org/abs/1712.01741 db/journals/corr/corr1712.html#abs-1712-01741

Svetlana Kiritchenko Saif M. Mohammad Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. 2017 abs/1712.01765 CoRR http://arxiv.org/abs/1712.01765 db/journals/corr/corr1712.html#abs-1712-01765

Svetlana Kiritchenko Saif M. Mohammad The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition. 2017 abs/1712.01794 CoRR http://arxiv.org/abs/1712.01794 db/journals/corr/corr1712.html#abs-1712-01794

Saif M. Mohammad Mohammad Salameh Svetlana Kiritchenko How Translation Alters Sentiment. 95-130 2016 55 J. Artif. Intell. Res. https://doi.org/10.1613/jair.4787 https://www.wikidata.org/entity/Q110499373 db/journals/jair/jair55.html#MohammadSK16

Preslav Nakov Sara Rosenthal Svetlana Kiritchenko Saif M. Mohammad Zornitsa Kozareva Alan Ritter Veselin Stoyanov Xiaodan Zhu 0001 Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. 35-65 2016 50 Lang. Resour. Evaluation 1 https://doi.org/10.1007/s10579-015-9328-1 https://www.wikidata.org/entity/Q57729194 db/journals/lre/lre50.html#NakovRKMKRSZ16

Svetlana Kiritchenko Saif M. Mohammad Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases. 2016 LREC http://www.lrec-conf.org/proceedings/lrec2016/summaries/242.html conf/lrec/2016 db/conf/lrec/lrec2016.html#KiritchenkoM16 Saif M. Mohammad Svetlana Kiritchenko Parinaz Sobhani Xiaodan Zhu 0001 Colin Cherry A Dataset for Detecting Stance in Tweets. 2016 LREC http://www.lrec-conf.org/proceedings/lrec2016/summaries/232.html conf/lrec/2016 db/conf/lrec/lrec2016.html#MohammadKSZC16 Saif M. Mohammad Mohammad Salameh Svetlana Kiritchenko Sentiment Lexicons for Arabic Social Media. 2016 LREC http://www.lrec-conf.org/proceedings/lrec2016/summaries/234.html conf/lrec/2016 db/conf/lrec/lrec2016.html#MohammadSK16 Svetlana Kiritchenko Saif M. Mohammad Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling. 811-817 2016 HLT-NAACL https://doi.org/10.18653/v1/n16-1095 https://aclanthology.org/N16-1095/ conf/naacl/2016 db/conf/naacl/naacl2016.html#KiritchenkoM16 Svetlana Kiritchenko Saif M. Mohammad Sentiment Composition of Words with Opposing Polarities. 1102-1108 2016 HLT-NAACL https://doi.org/10.18653/v1/n16-1128 https://aclanthology.org/N16-1128/ conf/naacl/2016 db/conf/naacl/naacl2016.html#KiritchenkoM16a Saif M. Mohammad Svetlana Kiritchenko Parinaz Sobhani Xiaodan Zhu 0001 Colin Cherry SemEval-2016 Task 6: Detecting Stance in Tweets. 31-41 2016 SemEval@NAACL-HLT https://doi.org/10.18653/v1/s16-1003 https://aclanthology.org/S16-1003/ conf/semeval/2016 db/conf/semeval/semeval2016.html#MohammadKSZC16 Svetlana Kiritchenko Saif M. Mohammad Mohammad Salameh SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases. 42-51 2016 SemEval@NAACL-HLT https://doi.org/10.18653/v1/s16-1004 https://aclanthology.org/S16-1004/ https://orkg.org/orkg/resource/R140850 conf/semeval/2016 db/conf/semeval/semeval2016.html#KiritchenkoMS16 Parinaz Sobhani Saif M. Mohammad Svetlana Kiritchenko Detecting Stance in Tweets And Analyzing its Interaction with Sentiment. 2016 *SEM@ACL https://doi.org/10.18653/v1/s16-2021 https://aclanthology.org/S16-2021/ conf/starsem/2016 db/conf/starsem/starsem2016.html#SobhaniMK16 Svetlana Kiritchenko Saif M. Mohammad The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition. 43-52 2016 WASSA@NAACL-HLT https://doi.org/10.18653/v1/w16-0410 https://aclanthology.org/W16-0410/ conf/wassa/2016 db/conf/wassa/wassa2016.html#KiritchenkoM16

Saif M. Mohammad Parinaz Sobhani Svetlana Kiritchenko Stance and Sentiment in Tweets. 2016 abs/1605.01655 CoRR http://arxiv.org/abs/1605.01655 db/journals/corr/corr1605.html#MohammadSK16

Saif M. Mohammad Svetlana Kiritchenko Using Hashtags to Capture Fine Emotion Categories from Tweets. 301-326 2015 31 Comput. Intell. 2 https://doi.org/10.1111/coin.12024 db/journals/ci/ci31.html#MohammadK15

Saif M. Mohammad Xiaodan Zhu 0001 Svetlana Kiritchenko Joel D. Martin Sentiment, emotion, purpose, and style in electoral tweets. 480-499 2015 51 Inf. Process. Manag. 4 https://doi.org/10.1016/j.ipm.2014.09.003 db/journals/ipm/ipm51.html#MohammadZKM15

Mohammad Salameh Saif M. Mohammad Svetlana Kiritchenko Sentiment after Translation: A Case-Study on Arabic Social Media Posts. 767-777 2015 HLT-NAACL https://doi.org/10.3115/v1/n15-1078 https://aclanthology.org/N15-1078/ conf/naacl/2015 db/conf/naacl/naacl2015.html#SalamehMK15 Sara Rosenthal Preslav Nakov Svetlana Kiritchenko Saif M. Mohammad Alan Ritter Veselin Stoyanov SemEval-2015 Task 10: Sentiment Analysis in Twitter. 451-463 2015 SemEval@NAACL-HLT https://doi.org/10.18653/v1/s15-2078 https://aclanthology.org/S15-2078/ conf/semeval/2015 db/conf/semeval/semeval2015.html#RosenthalNKMRS15

Svetlana Kiritchenko Xiaodan Zhu 0001 Saif M. Mohammad Sentiment Analysis of Short Informal Texts. 723-762 2014 50 J. Artif. Intell. Res. https://doi.org/10.1613/jair.4272 db/journals/jair/jair50.html#KiritchenkoZM14

Xiaodan Zhu 0001 Hongyu Guo Saif M. Mohammad Svetlana Kiritchenko An Empirical Study on the Effect of Negation Words on Sentiment. 304-313 2014 ACL (1) https://doi.org/10.3115/v1/p14-1029 https://aclanthology.org/P14-1029/ conf/acl/2014-1 db/conf/acl/acl2014-1.html#ZhuGMK14 Svetlana Kiritchenko Xiaodan Zhu 0001 Colin Cherry Saif M. Mohammad NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews. 437-442 2014 SemEval@COLING https://doi.org/10.3115/v1/s14-2076 https://aclanthology.org/S14-2076/ conf/semeval/2014 db/conf/semeval/semeval2014.html#KiritchenkoZCM14 Xiaodan Zhu 0001 Svetlana Kiritchenko Saif M. Mohammad NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets. 443-447 2014 SemEval@COLING https://doi.org/10.3115/v1/s14-2077 https://aclanthology.org/S14-2077/ conf/semeval/2014 db/conf/semeval/semeval2014.html#ZhuKM14

Xiaodan Zhu 0001 Colin Cherry Svetlana Kiritchenko Joel D. Martin Berry de Bruijn Detecting concept relations in clinical text: Insights from a state-of-the-art model. 275-285 2013 46 J. Biomed. Informatics 2 https://doi.org/10.1016/j.jbi.2012.11.006 https://www.wikidata.org/entity/Q38456598 db/journals/jbi/jbi46.html#ZhuCKMB13

Saif M. Mohammad Svetlana Kiritchenko Joel D. Martin Identifying purpose behind electoral tweets. 1:1-1:9 2013 WISDOM https://doi.org/10.1145/2502069.2502070 conf/kdd/2013wisdom db/conf/kdd/wisdom2013.html#MohammadKM13 Saif M. Mohammad Svetlana Kiritchenko Xiaodan Zhu 0001 NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. 321-327 2013 SemEval@NAACL-HLT https://aclanthology.org/S13-2053/ conf/semeval/2013 db/conf/semeval/semeval2013.html#MohammadKZ13

Saif M. Mohammad Svetlana Kiritchenko Xiaodan Zhu 0001 NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets. 2013 CoRR http://arxiv.org/abs/1308.6242 abs/1308.6242 db/journals/corr/corr1308.html#MohammadKZ13

Saif M. Mohammad Svetlana Kiritchenko Using Nuances of Emotion to Identify Personality. 2013 CoRR http://arxiv.org/abs/1309.6352 abs/1309.6352 db/journals/corr/corr1309.html#MohammadK13

Saif M. Mohammad Svetlana Kiritchenko Joel D. Martin Identifying Purpose Behind Electoral Tweets. 2013 CoRR http://arxiv.org/abs/1311.1194 abs/1311.1194 db/journals/corr/corr1311.html#MohammadKM13

Berry de Bruijn Colin Cherry Svetlana Kiritchenko Joel D. Martin Xiaodan Zhu 0001 Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. 557-562 2011 18 J. Am. Medical Informatics Assoc. 5 https://doi.org/10.1136/amiajnl-2011-000150 https://www.wikidata.org/entity/Q35200258 db/journals/jamia/jamia18.html#BruijnCKMZ11

Svetlana Kiritchenko Colin Cherry Lexically-Triggered Hidden Markov Models for Clinical Document Coding. 742-751 2011 ACL https://aclanthology.org/P11-1075/ conf/acl/2011 db/conf/acl/acl2011.html#KiritchenkoC11 Svetlana Kiritchenko Stan Matwin Email classification with co-training. 301-312 2011 CASCON http://dl.acm.org/citation.cfm?id=2093923 conf/cascon/2011 db/conf/cascon/cascon2011.html#KiritchenkoM01a

Svetlana Kiritchenko Berry de Bruijn Simona Carini Joel D. Martin Ida Sim ExaCT: automatic extraction of clinical trial characteristics from journal publications. 56 2010 10 BMC Medical Informatics Decis. Mak. https://doi.org/10.1186/1472-6947-10-56 https://www.wikidata.org/entity/Q28475788 db/journals/midm/midm10.html#KiritchenkoBCMS10

Berry de Bruijn Simona Carini Svetlana Kiritchenko Joel D. Martin Ida Sim Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications. 2008 AMIA https://knowledge.amia.org/amia-55142-a2008a-1.625176/t-002-1.625979/f-001-1.625980/a-028-1.626017/a-029-1.626014 conf/amia/2008 db/conf/amia/amia2008.html#BruijnCKMS08 Svetlana Kiritchenko Mikhail Jiline Keyword Optimization in Sponsored Search via Feature Selection. 122-134 FSDM 2008 conf/pkdd/2008fsdm http://proceedings.mlr.press/v4/kiritchenko08a.html db/journals/jmlr/jmlrp4.html#KiritchenkoJ08 Svetlana Kiritchenko Stan Matwin Richard Nock A. Fazel Famili Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. 395-406 2006 conf/ai/2006 Canadian AI https://doi.org/10.1007/11766247_34 https://www.wikidata.org/entity/Q57707169 db/conf/ai/ai2006.html#KiritchenkoMNF06 Svetlana Kiritchenko Stan Matwin Suhayya Abu-Hakima Email Classification with Temporal Features. 523-533 2004 conf/iis/2004 Intelligent Information Systems db/conf/iis/iis2004.html#KiritchenkoMA04 Svetlana Kiritchenko Stan Matwin Generalized Features: Their Application to Classification. 985 2002 conf/aaai/2002 AAAI/IAAI db/conf/aaai/aaai2002.html#KiritchenkoM02 http://www.aaai.org/Library/AAAI/2002/aaai02-163.php Svetlana Kiritchenko Stan Matwin Email classification with co-training. 8 2001 conf/cascon/2001 CASCON https://dl.acm.org/citation.cfm?id=782104 db/conf/cascon/cascon2001.html#KiritchenkoM01 Abubakar Abid Suhayya Abu-Hakima Akshat Agarwal Omar Agha Jesujoba O. AlabiJesujoba Alabi Tariq Ali Pegah Alipoormolabashi Moin Aminnaseri Sajant Anand Anders Andreassen Riku Arakawa Cedrick Argueta Melody Arnaud Shima Asaadi Courtney Ashcraft Amanda Askell Yasaman Bahri Yuntao Bai Medina Baitemirova John U. Balis Esma Balkir Rabin Banjade Mohit Bansal Chitta Baral Elizabeth Barnes Richard Barnes 0002 Jonathan Batchelder Marco Baturan Yonatan Belinkov Maksim Belousov Jonathan Berant Gregor Betz Michele Bevilacqua Anahita Bhiwandiwalla Stella Biderman Sebastian Bischoff 0001 Hayden Bogar Bartlomiej Bojanowski Maarten Bosma Jelle Bosscher Joseph Boudeman Samuel R. Bowman Ronan Le Bras 0001Ronan LeBras Felipe Bravo-Marquez Adam R. Brown Berry de Bruijn John Burden Dilyar Buzan Mike Cain Chris Callison-Burch Nicholas Cameron 0001 Simona Carini P. A. M. CasaresPablo Antonio Moreno Casares Sean Casey Ernie Chang Peter Chang Trenton Chang Angelica Chen Danqi Chen 0001 Derek Chen Qinlang Chen 0001 Yifu Chen Colin Cherry Ethan A. Chi Nathan A. Chi Ryan Chi Kristen Chiafullo Yejin Choi 0001 François Chollet Eric Chu Joyce Chua Michael Cohen Luis Oliveros Colón Noah Constant Robert J. Coplan Ekin Dogus Cubuk Georgina Curto Andrew M. Dai Debajyoti Datta Hillary Dawkins Shyamolima (Shammie) Debnath Niklas Deckers Stanislas Dehaene Vera Demberg Theo DesbordesThéo Desbordes Kaustubh D. Dhole Cameron Diao Sam Dillavou Stefan Divic David Dohan Nick Doiron Elizabeth Donoway Parth Doshi Cameron Dour David Drakard Amanda Dsouza Liam Dugan Ethan Dyer Peter Eckersley Avia Efrat Berk Ekmekci Omar Elbaghdadi Denis Emelin Jesse H. Engel Aykut Erdem Erkut Erdem Stefano Ermon Owain Evans Fazel FamiliA. Fazel Famili Maheen Farooqi Manaal Faruqui William Fedus Cèsar FerriCèsar Ferri Ramírez Noah Fiedel Jaime Fernández Fisac Adam Fisch Robert Frank 0001 Kathleen C. Fraser Daniel Freeman Jasper Friedrichs Jörg Frohberg Pascale Fung Raefer Gabriel Hana Galijasevic Deep Ganguli Leo Gao Cristina Garbacea Rhythm Garg Dan Garrette Adrià Garriga-Alonso Sebastian Gehrmann Jack Geissinger Tobias Gerstenberg Mor Geva Sarik Ghazarian Mozhdeh Gheini Arash Gholamidavoodi Sayan Ghosh 0004 Dar Gilboa Kevin Gimpel Filip Ginter Mario Giulianelli Daniel Moseguí González Graciela Gonzalez-Hernandez Karthik Gopalakrishnan 0001 Anna Gottardi Samuel Gruetter Michael Gu Shixiang GuShixiang Shane Gu Joseph Guerr Hongyu Guo Rongchen Guo Aditya Gupta 0001 Animesh Gupta Guy Gur-Ari Rahel Habacker Matthias Hagen Eleanor Hagerman Hannaneh Hajishirzi Kai Hakala Shadi Hamdan Sanghyun Han Sifei Han Yiding Hao Francesca Happé Tatsu Hashimoto Sriharsha Hatwar Luheng He Behnam Hedayatnia Dan Hendrycks Danny Hernandez José Hernández-Orallo Austin Herrick Jacob Hilton Will E. Hipson Maartje ter Hoeve Yu Hou Yufang Hou 0001 Blake Howald Phillip Howard Phu Mon Htut Dieuwke Hupkes Aman Hussain Pinyu Hwang Katerina Ignatyeva Benjamin Inden Daphne Ippolito Michael I. Ivanitskiy Anantharaman S. Iyer Niveditha Iyer Rowan Jacobs Gonzalo Jaimovitch-López Ethan J. Jerzak Angela Jiang Mikhail Jiline Joseph Jones Jaap Jumelet David Jurgens Mihir Kale Kamil Kanclerz Jared Kaplan Ayla Karakas Ramakanth Kavuluru Anna Kerkhof Jackson Kernion Nitish Shirish Keskar Daniel Khashabi Tushar Khot Dan Kilman Ethan Kim Hannah Kim 0010 Jeremy Kim Arun Kirubarajan Denis Kleyko Agnieszka Kluska Jan Kocon Alexander W. Kocurek James Koppel Timofei Kornev Zornitsa Kozareva Neta Gur-Ari Krakover Karl Krauth Germán Kruszewski Sanjeev Kwatra Andrew La Yair Lakretz Emma Lam Lucas Lam Andrew K. Lampinen Matthew L. Leavitt Dong-Ho Lee Jaehoon Lee 0001 Nayeon Lee Ryan Lee Soo-Hwan Lee Daniel Levy 0002 Omer Levy Martha Lewis Aitor Lewkowycz Tao Li 0039 Paul Pu Liang Percy Liang Peiyuan Liao Bill Y. LinBill Yuchen Lin Stephanie Lin Tal Linzen Rosanne Liu Karen Livescu Bao Sheng Loe Qing Lyu 0001 Andrea Madotto Debanjan Mahata Sneha Priscilla Makini Christopher D. Manning Eunice Engefu Manyasi Marco Marelli Giorgio Mariani Katja Markert Jennifer Marsh Joel D. Martin Nicole Martinez Fernando Martínez-Plumed Marco Maru Kory W. Mathewson Stan Matwin Mantas Mazeika Kyle McDonell Melvin McElrath Farrokh Mehryary Harsh Mehta Qiaozhu Mei Gerard de Melo Simone Melzi Arul Menezes Chenlin Meng Luke Metz Piotr Milkowski John Miller 0001 Raphaël Millière Summer Misherghi Gaurav Mishra Swaroop Mishra Diganta Misra Vedant Misra Saif M. Mohammad Dimitri Coelho Mollo Louis-Philippe Morency Jason Morin Luca Moschella Niklas Muennighoff Asher Mullokandov Habibeh Naderi Preslav Nakov Nikita Nangia Trishala Neeraj Isar Nejadgholi Goran Nenadic Behnam Neyshabur Ian Ng Allen Nie Tiberius Nkinyili Isaac Noble Lucy Noble Richard Nock Antonio Norelli Roman Novak Jekaterina Novikova Victoria Nyamai Lidia Contreras Ochando Priti Oli Kevin Omondi Bryan Orinion Batuhan Özyurt Shubh Pachchigar Vishakh Padmakumar Giambattista Parascandolo Alicia Parrish Piyush Patil Ellie Pavlick Nanyun Peng 0001 Danielle Perszyk Pouya Pezeshkpour Thomas Phan Jason Phang Steve PiantadosiSteven T. Piantadosi Martin Potthast Christopher Potts Alethea Power Vinay Uday Prabhu Stephen Prasad Lianhui Qin Jarema Radom Colin Raffel Ameet Rahane Vinay V. Ramasesh Cindy Ramirez María José Ramírez-Quintana Abhishek Rao Hannah Rashkin Abhinav Rastogi Charles Rathkopf Vikas Raunak Alex Ray Robbe Raymaekers Siva Reddy Xiang Ren 0001 Laria Reynolds Kyle Richardson 0001 Anthony Rios Ramon Risco Alan Ritter Clara RiveraClara E. Rivera B. Ryan Roberts Nicholas Roberts Emanuele Rodolà Frieda Rong Sara Rosenthal Dan Roth 0001 Theodore Rothschild Sarah A. Rous Jos Rozen Rachel Etta Rudolph Joshua S. Rule Ashish Sabharwal Sepideh Sadeghi Ali Safaya Ruslan Salakhutdinov Mohammad Salameh Andrea Santilli Adam Santoro Maarten Sap Abeed Sarker William Saunders Rif A. Saurous Timo Schick Ludwig Schmidt Samuel S. Schoenholz Dylan Schrader Mátyás Schubert Sebastian Schuster 0001 Tal Schuster Hinrich Schütze Elad Segal Zachary Seid Lutfi Kerem SenelLütfi Kerem Senel Uri Shaham 0002 Siamak Shakeri Xudong Shen Henry Shevlin Sherry Shi Stuart M. Shieber Ksenia Shkaruta Sam Shleifer Abu Awal Md Shoeb Kumar Shridhar Tyler Shultz Ekaterina Shutova Fatemeh Siar Muhammad Hammad Fahim Siddiqui Rohan Sikand Damien Sileo Ida Sim James B. Simon Chandan Singh Sahib Singh Shikhar Singh Clemencia Siro Roman Sitelew Ambrose Slone Parinaz Sobhani Jascha Sohl-Dickstein Behrouz Haji Soleimani Jiaming Song Yangqiu Song Vivek Srikumar Aarohi Srivastava Shashank Srivastava Michael Starritt Benno Stein 0001 Catherine Stinson Ryan Stovall Veselin Stoyanov Michael Strube 0001 Andreas Stuhlmüller Mirac Suzgun Michal Swedrowski Mukund Varma T. Jeroen Taal Arfa Tabassum Derek Tam Eric Tang Jillian Tang Ali Tazarv Ryan Teehan Joshua B. Tenenbaum Jana Thompson Simon Thormeyer Mo Tiwari Marie Tolkiehn Xiaoyu Tong Spencer Torene Shubham Toshniwal Tung Tran 0001 Titus Tunduny Shyam Upadhyay Anu Venkatesh Paul Vicol Christian Voigt Wout Vossen Anh Vuong Chris Waites Mitch Walker Gloria Wang Tianle Wang 0009 Zijian Wang 0002 Zijie J. Wang Zirui Wang Alex Warstadt Joan Waweru Jason Wei Nuan Wen Genta Indra Winata Janelle Wingfield Sam Wiseman Michael Wojatzki Hugh Mee Wong Chiyu Wu Te-Lin Wu Xinyi Wu Ziyi Wu Fanyue Xia Alice Xiang Jiacheng Xu Mimee Xu Yadollah Yaghoobzadeh Hiromu Yakura Diyi Yang Rylan Yang Yichi Yang Michihiro Yasunaga Michael A. Yee Jason Yosinski Tao Yu 0009 Deniz Yuret Torsten Zesch Hongming Zhang 0009 Li Zhang 0039 Oliver Zhang Rui Zhang 0037 William Zhang 0004 Xinran Zhao Zhuoye Zhao Evgenii Zheltonozhskii James Zheng Sharon Zhou Xiaodan Zhu 0001 Barret Zoph Andy Zou James Zou 0001