Current Employment
Since 2006, I have been working at the National Research Council Canada,
Digital Technologies Research Centre, Text Analytics group.
My research interests include ethics and fairness in NLP, sentiment and emotion analysis, text classification, social media analysis, medical informatics, and hierarchical classification.
See the Research page for the list of the projects I have been involved in at the NRC and during my Ph.D. studies.
Education
- Ph.D. in Computer Science (2006), University of Ottawa, Canada
Research areas: Machine Learning, Text Classification, Bioinformatics
Supervisors: Dr. Stan Matwin, Dr. A. Fazel Famili
Thesis: Hierarchical Text Categorization and Its Application to Bioinformatics [pdf]
- M.Sc. in Mathematics and Computer Science (1997), Moscow State University, Russia
Research area: Heuristic Search
Supervisor: Dr. Vladimir Pilshikov
Thesis: Demonstration of General Problem Solver System Operation
Competition-Winning Automatic Text Classification Systems
As part of the NRC-Canada team, I designed and implemented automatic text classification systems
for the following international shared tasks:
- AMIA-2017 Shared Task on Social Media Mining for Health Applications:
- classification of tweets mentioning adverse drug reactions (1st place
)
- classification of tweets describing personal medication intake (3rd place
)
- Kiritchenko, S., Mohammad, S., Morin, J., and de Bruijn, B. (2017). NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake.
Proceedings of the Social Media Mining for Health Applications Workshop at AMIA-2017, Washington, DC, USA, 2017
[pdf]
- SemEval-2014 Sentiment Analysis in Twitter (Task 9):
- message-level sentiment classification (overall 1st place
)
- Kiritchenko, S., Zhu, X., Mohammad, S. (2014). Sentiment Analysis of Short Informal Texts. Journal of Artificial Intelligence Research, 50:723-762, 2014
[pdf]
- Zhu, X., Kiritchenko, S., and Mohammad, S. (2014) NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets.
Proceedings of the 8th International Workshop on Semantic Evaluation Exercises (SemEval-2014), Dublin, Ireland, 2014
[pdf]
- SemEval-2014 Aspect Based Sentiment Analysis (Task 4):
- detecting aspect categories (1st place
)
- detecting sentiment towards aspect categories (1st place
)
- Kiritchenko, S., Zhu, X., Cherry, C., and Mohammad, S. (2014) NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews.
Proceedings of the 8th International Workshop on Semantic Evaluation Exercises (SemEval-2014), Dublin, Ireland, 2014
[pdf]
- SemEval-2013 Sentiment Analysis in Twitter (Task 2):
- message-level sentiment classification (1st place
)
- Kiritchenko, S., Zhu, X., Mohammad, S. (2014). Sentiment Analysis of Short Informal Texts. Journal of Artificial Intelligence Research, 50:723-762, 2014
[pdf]
- Mohammad, S., Kiritchenko, S., and Zhu, X. (2013) NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets.
Proceedings of the 7th International Workshop on Semantic Evaluation Exercises (SemEval-2013), 2013
[pdf]
Invited Talks
- Invited talk at the NRC AI for Logistics Conference "Ethical Artificial Intelligence" (May 2023)
- Invited talk for Special Interest Group on Artificial Intelligence and Innovation Management (AI&IM) of the International Society for Professional Innovation Management "Ethical Issues in Online Abuse Detection" (March 2022)
- Invited talk at Carleton University "Sentiment Analysis of Social Media Texts: Common Practices and Pitfalls" (March 2022,2023)
- Invited speaker and panelist at the "Celebrating the Success of Women in STEM" 2022 Symposium
- Invited talk at Carleton University "Ethical Issues in Online Abuse Detection" (May 2021) [slides]
- Invited speaker and panelist at the workshop "From Humans to Algorithm to Data, Biases in AI" at the Hawai'i International Conference on System Sciences (HICSS-52) [slides]
Paper Awards
- ICCC-2023: Best Short Paper
- Fraser, K.C., Kiritchenko, S., Nejadgholi, I. (2023) Diversity is Not a One-Way Street: Pilot Study on Ethical Interventions for Racial Bias in Text-to-Image Systems. In Proceedings of the 14th International Conference on Computational Creativity (ICCC), Waterloo, ON, Canada, June 2023. [pdf]
- WOAH-2023: Outstanding Paper
- Kiritchenko, S., Curto, G., Nejadgholi, I., Fraser, K.C. (2023) Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor. In Proceedings of the 7th Workshop on Online Abuse and Harms (WOAH), Toronto, ON, Canada, July 2023. [pdf]
- CASCON-2011: Most Influential Paper from a decade ago
- Kiritchenko, S., and Matwin, S. (2001) Email Classification with Co-Training. Proceedings of CASCON 2001, pages 192-201, Toronto, Canada, 2001
[pdf]
Organizing Committees