Papers by Saba Anwar

3 papers
POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization (2026.findings-acl)

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Challenge: polarization is a pervasive threat to democratic institutions, civil discourse, and social cohesion worldwide . most existing datasets focus on English or high-resource languages, reflecting a widespread trend across NLP tasks .
Approach: They propose a multilingual, multicultural, and multi-event dataset with over 110K instances in 22 languages drawn from diverse online platforms and real-world events.
Outcome: The proposed dataset analyzes polarization detection, type, and manifestation using a variety of annotation platforms adapted to each cultural context.
SCoT: Sense Clustering over Time: a tool for the analysis of lexical change (2021.eacl-demos)

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Challenge: Sense Clustering over Time (SCoT) is a network-based tool for analysing lexical change . it visualises word formation, change, and demise as clusters of similar words . SCoT has been successfully used in a European study on the changing meaning of ‘crisis’.
Approach: They propose a new network-based tool for analysing lexical change using a dynamic network of word similarities.
Outcome: The proposed tool has been successfully used in a European study on the changing meaning of ‘crisis’.
How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering (2025.acl-long)

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Challenge: Comparative Question Answering (CQA) is a task that involves processing information and diverse viewpoints.
Approach: They construct a dataset of arguments annotated with their relevance and use it to answer comparative questions.
Outcome: The proposed dataset contains arguments annotated with their relevance and enables precise traceability and faithfulness.

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