Svetlana Kiritchenko

Svetlana Kiritchenko. Hierarchical Text Categorization and Its Application to Bioinformatics. Ph.D. thesis, University of Ottawa, 2005.[abstract][pdf]

School of Information Technology and Engineering University of Ottawa

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SOLO - A Corpus of Tweets for Examining the State of Being Alone

Svetlana Kiritchenko, Will E. Hipson, Robert Coplan,Saif M. Mohammad

LREC, pp.1567-1577, (2020)

EIBibtex

SemEval-2015 Task 10: Sentiment Analysis in Twitter

Rosenthal Sara,Mohammad Saif M,Nakov Preslav,Ritter Alan,Kiritchenko Svetlana,Stoyanov Veselin

Bibtex

Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition

Shima Asaadi,Saif Mohammad,Svetlana Kiritchenko

pp.505-516 (2019)

Cited by1EIBibtex

A Fine-Grained Semantic Relatedness Dataset for English Bigrams

Shima Asaadi,Saif Mohammad,Svetlana Kiritchenko

north american chapter of the association for computational linguistics, (2019)

Bibtex

Agree or Disagree: Predicting Judgments on Nuanced Assertions

Michael Wojatzki,Torsten Zesch,Saif Mohammad,Svetlana Kiritchenko

*SEM@NAACL-HLT, pp.214-224, (2018)

EIBibtex

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

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

JAMIA, no. 10 (2018): 1274-1283

Cited by28EIWOSBibtex

Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories

Saif Mohammad,Svetlana Kiritchenko

LREC, (2018)

Cited by15EIBibtex

Quantifying Qualitative Data for Understanding Controversial Issues

Michael Wojatzki,Saif Mohammad,Torsten Zesch,Svetlana Kiritchenko

LREC, (2018)

Cited by4EIBibtex

WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art

Saif Mohammad,Svetlana Kiritchenko

LREC, (2018)

EIBibtex

DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning

Habibeh Naderi,Behrouz Haji Soleimani,Saif Mohammad,Svetlana Kiritchenko,Stan Matwin

SemEval@NAACL-HLT, pp.305-312, (2018)

Cited by1EIBibtex

SemEval-2018 Task 1: Affect in Tweets

Saif Mohammad,Felipe Bravo-Marquez,Mohammad Salameh,Svetlana Kiritchenko

SemEval@NAACL-HLT, pp.1-17, (2018)

Cited by48EIBibtex

Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems

Svetlana Kiritchenko,Saif Mohammad

*SEM@NAACL-HLT, (2018): 43-53

Cited by3EIBibtex

Stance and Sentiment in Tweets

Saif M. Mohammad,Parinaz Sobhani,Svetlana Kiritchenko

ACM Trans. Internet Techn., no. 3 (2017)

Cited by169EIBibtex

Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation

Svetlana Kiritchenko,Saif Mohammad

ACL, (2017): 465-470

Cited by17EIBibtex

NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake

Svetlana Kiritchenko,Saif M. Mohammad,Jason Morin,Berry de Bruijn

SMM4H@AMIA, (2017): 1-11

Cited by13EIBibtex

SemEval-2016 Task 6: Detecting Stance in Tweets

Saif Mohammad,Svetlana Kiritchenko,Parinaz Sobhani,Xiao-Dan Zhu,Colin Cherry

SemEval@NAACL-HLT, pp.31-41, (2016)

Cited by355EIBibtex

Sentiment Composition of Words with Opposing Polarities

Svetlana Kiritchenko,Saif M. Mohammad

NAACL, (2016)

Cited by20EIBibtex

Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling

Svetlana Kiritchenko,Saif M. Mohammad

NAACL, (2016)

Cited by60EIBibtex

The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition

Svetlana Kiritchenko,Saif M. Mohammad

north american chapter of the association for computational linguistics, (2016)

Cited by18EIBibtex

Sentiment Lexicons for Arabic Social Media

Saif Mohammad,Mohammad Salameh,Svetlana Kiritchenko

LREC, (2016)

Cited by6EIBibtex

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