activity
20172026
most citedNL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

25 citations · 67 across the 43 of their papers we have counts for

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Showing 2024 · cs.CLShow all

5 papers · 2 filters

cs.CL2024

Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training

Mugdha Pandya, Nafise Sadat Moosavi, Diana Maynard

Resolving disagreement in manual annotation typically consists of removing unreliable annotators and using a label aggregation strategy such as majority vote or expert opinion to r…

cs.CL2024

Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context

Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi

Human processing of idioms relies on understanding the contextual sentences in which idioms occur, as well as language-intrinsic features such as frequency and speaker-intrinsic fa…

cs.CL2024

How to Leverage Digit Embeddings to Represent Numbers?

Jasivan Alex Sivakumar, Nafise Sadat Moosavi

Within numerical reasoning, understanding numbers themselves is still a challenge for existing language models. Simple generalisations, such as solving 100+200 instead of 1+2, can…

cs.CL2024★ 1 cited

Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language

Hamidreza Saffari, Mohammadamin Shafiei, Hezhao Zhang +2

Dehumanization, i.e., denying human qualities to individuals or groups, is a particularly harmful form of hate speech that can normalize violence against marginalized communities.…

cs.CL2024★ 1 cited

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection

Valeria Pastorino, Jasivan A. Sivakumar, Nafise Sadat Moosavi

The growing complexity and diversity of news coverage have made framing analysis a crucial yet challenging task in computational social science. Traditional approaches, including m…