Svetlana Kiritchenko - researchr alias

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Viewing Publication 1 - 53 from 53

2022

Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech DetectionEsma Balkir, Isar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko. naacl 2022: 2672-2686 [doi]

Extracting Age-Related Stereotypes from Social Media TextsKathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi. lrec 2022: 3183-3194 [doi]

Computational Modeling of Stereotype Content in TextKathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi. frai, 5:826207, 2022. [doi]

Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation VectorsIsar Nejadgholi, Kathleen C. Fraser, Svetlana Kiritchenko. acl 2022: 5517-5529 [doi]

Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment InformationIsar Nejadgholi, Esma Balkir, Kathleen C. Fraser, Svetlana Kiritchenko. blackboxnlp 2022: 225-237 [doi]

2021

Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content ModelKathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko. acl 2021: 600-616 [doi]

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights PerspectiveSvetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser. jair, 71:431-478, 2021. [doi]

2020

SOLO: A Corpus of Tweets for Examining the State of Being AloneSvetlana Kiritchenko, Will E. Hipson, Robert Coplan, Saif M. Mohammad. lrec 2020: 1567-1577 [doi]

On Cross-Dataset Generalization in Automatic Detection of Online AbuseIsar Nejadgholi, Svetlana Kiritchenko. acl-alw 2020: 173-183 [doi]

2019

Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic CompositionShima Asaadi, Saif Mohammad, Svetlana Kiritchenko. naacl 2019: 505-516 [doi]

2018

Examining Gender and Race Bias in Two Hundred Sentiment Analysis SystemsSvetlana Kiritchenko, Saif Mohammad. starsem 2018: 43-53 [doi]

WikiArt Emotions: An Annotated Dataset of Emotions Evoked by ArtSaif Mohammad, Svetlana Kiritchenko. lrec 2018:

Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect CategoriesSaif Mohammad, Svetlana Kiritchenko. lrec 2018:

SemEval-2018 Task 1: Affect in TweetsSaif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko. semeval 2018: 1-17 [doi]

DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation LearningHabibeh Naderi, Behrouz Haji Soleimani, Saif Mohammad, Svetlana Kiritchenko, Stan Matwin. semeval 2018: 305-312 [doi]

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared taskAbeed 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. jamia, 25(10):1274-1283, 2018. [doi]

Quantifying Qualitative Data for Understanding Controversial IssuesMichael Wojatzki, Saif Mohammad, Torsten Zesch, Svetlana Kiritchenko. lrec 2018:

Agree or Disagree: Predicting Judgments on Nuanced AssertionsMichael Wojatzki, Torsten Zesch, Saif Mohammad, Svetlana Kiritchenko. starsem 2018: 214-224 [doi]

2017

Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity AnnotationSvetlana Kiritchenko, Saif Mohammad. acl 2017: 465-470 [doi]

NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication IntakeSvetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn. amia 2017: 1-11 [doi]

Stance and Sentiment in TweetsSaif M. Mohammad, Parinaz Sobhani, Svetlana Kiritchenko. ACM Trans. Internet Techn., 17(3), 2017. [doi]

2016

Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity PhrasesSvetlana Kiritchenko, Saif Mohammad. lrec 2016: [doi]

The Effect of Negators, Modals, and Degree Adverbs on Sentiment CompositionSvetlana Kiritchenko, Saif Mohammad. wassa 2016: 43-52 [doi]

Sentiment Composition of Words with Opposing PolaritiesSvetlana Kiritchenko, Saif M. Mohammad. naacl 2016: 1102-1108 [doi]

Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst ScalingSvetlana Kiritchenko, Saif M. Mohammad. naacl 2016: 811-817 [doi]

SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic PhrasesSvetlana Kiritchenko, Saif Mohammad, Mohammad Salameh. semeval 2016: 42-51 [doi]

Sentiment Lexicons for Arabic Social MediaSaif Mohammad, Mohammad Salameh, Svetlana Kiritchenko. lrec 2016: [doi]

How Translation Alters SentimentSaif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko. jair, 55:95-130, 2016. [doi]

SemEval-2016 Task 6: Detecting Stance in TweetsSaif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiao-Dan Zhu, Colin Cherry. semeval 2016: 31-41 [doi]

A Dataset for Detecting Stance in TweetsSaif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiao-Dan Zhu, Colin Cherry. lrec 2016: [doi]

Developing a successful SemEval task in sentiment analysis of Twitter and other social media textsPreslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu. lre, 50(1):35-65, 2016. [doi]

Detecting Stance in Tweets And Analyzing its Interaction with SentimentParinaz Sobhani, Saif Mohammad, Svetlana Kiritchenko. starsem 2016: [doi]

2015

2014

2013

2011

Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Xiaodan Zhu. jamia, 18(5):557-562, 2011. [doi]

Lexically-Triggered Hidden Markov Models for Clinical Document CodingSvetlana Kiritchenko, Colin Cherry. acl 2011: 742-751 [doi]

2010

ExaCT: automatic extraction of clinical trial characteristics from journal publicationsSvetlana Kiritchenko, Berry de Bruijn, Simona Carini, Joel D. Martin, Ida Sim. midm, 10:56, 2010. [doi]

2008

Automated Information Extraction of Key Trial Design Elements from Clinical Trial PublicationsBerry de Bruijn, Simona Carini, Svetlana Kiritchenko, Joel D. Martin, Ida Sim. amia 2008: [doi]

Keyword Optimization in Sponsored Search via Feature SelectionSvetlana Kiritchenko, Mikhail Jiline. jmlr, 4:122-134, 2008. [doi]

2006

Learning and Evaluation in the Presence of Class Hierarchies: Application to Text CategorizationSvetlana Kiritchenko, Stan Matwin, Richard Nock, A. Fazel Famili. ai 2006: 395-406 [doi]

2004

Email Classification with Temporal FeaturesSvetlana Kiritchenko, Stan Matwin, Suhayya Abu-Hakima. iiswc 2004: 523-533

2002

Generalized Features: Their Application to ClassificationSvetlana Kiritchenko, Stan Matwin. AAAI 2002: 985

2001

Email classification with co-trainingSvetlana Kiritchenko, Stan Matwin. cascon 2011: 301-312 [doi]

Email classification with co-trainingSvetlana Kiritchenko, Stan Matwin. cascon 2001: 8 [doi]

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Publications by 'Svetlana Kiritchenko'

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2001

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