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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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