NLPExplorer

Svetlana Kiritchenko

Number of Papers:- 36

Number of Citations:- 392

First ACL Paper:- 2011

Latest ACL Paper:- 2024

Venues:-

NAACL

EACL

ALW

ACL

*SEMEVAL

EMNLP

WASSA

IJCNLP

TrustNLP

*SEM

LREC

NLP+CSS

Co-Authors:-

Alan Ritter

Behrouz Haji Soleimani

Colin Cherry

Esma Balkir

Felipe Bravo Marquez

Similar Authors:-

Pedro Aniel Sanchez Mirabal

How Does Stereotype Content Differ across Data Sources? *SEM

Kathleen Fraser | Svetlana Kiritchenko | Isar Nejadgholi |

Examining Gender and Racial Bias in Large Vision–Language Models Using a Novel Dataset of Parallel Images EACL

Kathleen Fraser | Svetlana Kiritchenko |

The Crime of Being Poor: Associations between Crime and Poverty on Social Media in Eight Countries NLP+CSS WS

Georgina Curto | Svetlana Kiritchenko | Kathleen Fraser | Isar Nejadgholi |

Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors ACL

Isar Nejadgholi | Kathleen Fraser | Svetlana Kiritchenko |

Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models NAACL TrustNLP

Esma Balkir | Svetlana Kiritchenko | Isar Nejadgholi | Kathleen Fraser |

Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL

Esma Balkir | Isar Nejadgholi | Kathleen Fraser | Svetlana Kiritchenko |

Does Moral Code have a Moral Code? Probing Delphi’s Moral Philosophy NAACL TrustNLP

Kathleen C. Fraser | Svetlana Kiritchenko | Esma Balkir |

Extracting Age-Related Stereotypes from Social Media Texts LREC

Kathleen C. Fraser | Svetlana Kiritchenko | Isar Nejadgholi |

Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model ACL IJCNLP

Kathleen C. Fraser | Isar Nejadgholi | Svetlana Kiritchenko |

On Cross-Dataset Generalization in Automatic Detection of Online Abuse ALW EMNLP

Isar Nejadgholi | Svetlana Kiritchenko |

SOLO: A Corpus of Tweets for Examining the State of Being Alone LREC

Svetlana Kiritchenko | Will Hipson | Robert Coplan | Saif M. Mohammad |

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

Shima Asaadi | Saif Mohammad | Svetlana Kiritchenko |

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

Saif Mohammad | Svetlana Kiritchenko |

WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art LREC

Saif Mohammad | Svetlana Kiritchenko |

Quantifying Qualitative Data for Understanding Controversial Issues LREC

Michael Wojatzki | Saif Mohammad | Torsten Zesch | Svetlana Kiritchenko |

SemEval-2018 Task 1: Affect in Tweets *SEMEVAL

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

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

Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems *SEMEVAL

Svetlana Kiritchenko | Saif Mohammad |

Agree or Disagree: Predicting Judgments on Nuanced Assertions *SEMEVAL

Michael Wojatzki | Torsten Zesch | Saif Mohammad | Svetlana Kiritchenko |

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

Svetlana Kiritchenko | Saif Mohammad |

Sentiment Lexicons for Arabic Social Media LREC

Saif Mohammad | Mohammad Salameh | Svetlana Kiritchenko |

Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases LREC

Svetlana Kiritchenko | Saif Mohammad |

A Dataset for Detecting Stance in Tweets LREC

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

Svetlana Kiritchenko | Saif M. Mohammad |

Sentiment Composition of Words with Opposing Polarities NAACL

Svetlana Kiritchenko | Saif M. Mohammad |

SemEval-2016 Task 6: Detecting Stance in Tweets *SEMEVAL

SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases *SEMEVAL

Svetlana Kiritchenko | Saif Mohammad | Mohammad Salameh |

Detecting Stance in Tweets And Analyzing its Interaction with Sentiment *SEMEVAL

Parinaz Sobhani | Saif Mohammad | Svetlana Kiritchenko |

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

Svetlana Kiritchenko | Saif Mohammad |

Sentiment after Translation: A Case-Study on Arabic Social Media Posts NAACL

Mohammad Salameh | Saif Mohammad | Svetlana Kiritchenko |

SemEval-2015 Task 10: Sentiment Analysis in Twitter *SEMEVAL

An Empirical Study on the Effect of Negation Words on Sentiment ACL

Xiaodan Zhu | Hongyu Guo | Saif Mohammad | Svetlana Kiritchenko |

NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews *SEMEVAL

Svetlana Kiritchenko | Xiaodan Zhu | Colin Cherry | Saif Mohammad |

NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets *SEMEVAL

Xiaodan Zhu | Svetlana Kiritchenko | Saif Mohammad |

NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets *SEMEVAL

Saif Mohammad | Svetlana Kiritchenko | Xiaodan Zhu |

Lexically-Triggered Hidden Markov Models for Clinical Document Coding ACL

Svetlana Kiritchenko | Colin Cherry |