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Svetlana Kiritchenko
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2020 – today
- 2023
- [i23]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) - [i22]Georgina Curto, Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
The crime of being poor. CoRR abs/2303.14128 (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 - [i21]Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko:
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors. CoRR abs/2204.02261 (2022) - [i20]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) - [i19]Kathleen C. Fraser, Svetlana Kiritchenko, Esma Balkir:
Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy. CoRR abs/2205.12771 (2022) - [i18]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) - [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, Xiao-Dan 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, Xiao-Dan 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 Conference on 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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last updated on 2023-04-16 00:41 CEST by the dblp team
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