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Barbara McGillivray

5 accepted papers

2025

From Detection to Explanation: Effective Learning Strategies for LLMs in Online Abusive Language Research

Chiara Di Bonaventura, Lucia Siciliani, Pierpaolo Basile, Albert Merono Penuela, Barbara McGillivray
COLING 2025main

Abusive language detection relies on understanding different levels of intensity, expressiveness and targeted groups, which requires commonsense reasoning, world knowledge and linguistic nuances that evolve over time. Here, we frame the problem as a knowledge-guided learning task, and demonstrate th…

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2025

Hatevolution: What Static Benchmarks Don’t Tell Us

Chiara Di Bonaventura, Barbara McGillivray, Yulan He, Albert Meroño-Peñuela
ACL 2025finding

Language changes over time, including in the hate speech domain, which evolves quickly following social dynamics and cultural shifts. While NLP research has investigated the impact of language evolution on model training and has proposed several solutions for it, its impact on model benchmarking rem…

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2024

Language Pivoting from Parallel Corpora for Word Sense Disambiguation of Historical Languages: A Case Study on Latin

Iacopo Ghinassi, Simone Tedeschi, Paola Marongiu, Roberto Navigli, Barbara McGillivray
COLING 2024main

Word Sense Disambiguation (WSD) is an important task in NLP, which serves the purpose of automatically disambiguating a polysemous word with its most likely sense in context. Recent studies have advanced the state of the art in this task, but most of the work has been carried out on contemporary Eng…

Cited by 1Source ↗PDF ↗code ↗Scholar ↗
2021

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray
EMNLP 2021main

Word meaning is notoriously difficult to capture, both synchronically and diachronically. In this paper, we describe the creation of the largest resource of graded contextualized, diachronic word meaning annotation in four different languages, based on 100,000 human semantic proximity judgments. We…

Cited by 58Source ↗PDF ↗Scholar ↗
2020

Living Machines: A study of atypical animacy

Mariona Coll Ardanuy, Federico Nanni, Kaspar Beelen, Kasra Hosseini, Ruth Ahnert, Jon Lawrence +4
COLING 2020main

This paper proposes a new approach to animacy detection, the task of determining whether an entity is represented as animate in a text. In particular, this work is focused on atypical animacy and examines the scenario in which typically inanimate objects, specifically machines, are given animate att…

Cited by 26Source ↗PDF ↗code ↗Scholar ↗