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SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic
Ibrahim Abu Farha
,
Silviu Oprea
,
Steve Wilson
,
Walid Magdy
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DOI
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SMASH at Qur’an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios
Amr Keleg
,
Walid Magdy
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URL
Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation
Silviu Vlad Oprea
,
Steven Wilson
,
Walid Magdy
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Understanding Privacy Switching Behaviour on Twitter
Dilara Kekulluoglu
,
Kami Vaniea
,
Walid Magdy
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DOI
LIWC-UD: Classifying Online Slang Terms into LIWC Categories
Mohamed Bahgat
,
Steve Wilson
,
Walid Magdy
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From an Authentication Question to a Public Social Event: Characterizing Birthday Sharing on Twitter
Date of birth (DOB) has historically been considered as private information and safe to use for authentication, but recent years have …
Dilara Kekulluoglu
,
Walid Magdy
,
Kami Vaniea
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Chandler: An Explainable Sarcastic Response Generator
Silviu Vlad Oprea
,
Steve Wilson
,
Walid Magdy
PDF
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DOI
Atheists versus Theists: Religious Polarisation in Arab Online Communities
Youssef Al Hariri
,
Walid Magdy
,
Maria K. Wolters
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DOI
Black or White but Never Neutral: How Readers Perceive Identity from Yellow or Skin-toned Emoji
Alexander Robertson
,
Walid Magdy
,
Sharon Goldwater
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DOI
Intrinsic Bias Metrics Do Not Correlate with Application Bias
Natural Language Processing (NLP) systems learn harmful societal biases that cause them to amplify inequality as they are deployed in …
Seraphina Goldfarb-Tarrant
,
Rebecca Marchant
,
Ricardo Muñoz Sánchez
,
Mugdha Pandya
,
Adam Lopez
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