Survival text regression for time-to-event prediction in conversations

no code implementations • Findings (ACL) 2021 • Christine de Kock, Andreas Vlachos

regression Time-to-Event Prediction

Leveraging Wikipedia article evolution for promotional tone detection

1 code implementation • ACL 2022 • Christine de Kock, Andreas Vlachos

Detecting biased language is useful for a variety of applications, such as identifying hyperpartisan news sources or flagging one-sided rhetoric.

SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages

1 code implementation • 27 Mar 2024 • Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Meriem Beloucif, Christine de Kock, Oumaima Hourrane, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Krishnapriya Vishnubhotla, Seid Muhie Yimam, Saif M. Mohammad

We present the first shared task on Semantic Textual Relatedness (STR).

Semantic Similarity Semantic Textual Similarity +1

SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages

2 code implementations • 13 Feb 2024 • Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Abinew Ali Ayele, Pavan Baswani, Meriem Beloucif, Chris Biemann, Sofia Bourhim, Christine de Kock, Genet Shanko Dekebo, Oumaima Hourrane, Gopichand Kanumolu, Lokesh Madasu, Samuel Rutunda, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Hailegnaw Getaneh Tilaye, Krishnapriya Vishnubhotla, Genta Winata, Seid Muhie Yimam, Saif M. Mohammad

Exploring and quantifying semantic relatedness is central to representing language.

Semantic Similarity Semantic Textual Similarity +1

How to disagree well: Investigating the dispute tactics used on Wikipedia

1 code implementation • 16 Dec 2022 • Christine de Kock, Tom Stafford, Andreas Vlachos

Disagreements are frequently studied from the perspective of either detecting toxicity or analysing argument structure.

I Beg to Differ: A study of constructive disagreement in online conversations

1 code implementation • EACL 2021 • Christine de Kock, Andreas Vlachos

We develop a variety of neural models and show that taking into account the structure of the conversation improves predictive accuracy, exceeding that of feature-based models.