Papers by Ali Al-Laith

3 papers
Development and Evaluation of Pre-trained Language Models for Historical Danish and Norwegian Literary Texts (2024.lrec-main)

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Challenge: et al., 2019) develop and evaluate the first pre-trained language models specifically tailored for historical Danish and Norwegian texts.
Approach: They develop and evaluate pre-trained language models specifically tailored for historical Danish and Norwegian texts.
Outcome: The proposed model outperforms models trained on historical Danish and Norwegian literature in two downstream NLP tasks.
Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature (2024.emnlp-main)

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Challenge: This study examines the literary perceptions of noise during the Scandinavian "Modern Breakthrough" period (1870-1899).
Approach: They propose a framework for detecting and categorizing noise in literary texts from the late 19th century.
Outcome: The proposed framework can be applied to Danish and Norwegian literature from the late 19th century.
Dying or Departing? Euphemism Detection for Death Discourse in Historical Texts (2025.coling-main)

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Challenge: euphemisms are a linguistic device used to soften discussions of uncomfortable topics . euphorias are used to refer to death in a less direct manner during a period of secularization .
Approach: They propose to use a corpus of Danish and Norwegian novels to detect death-related euphemisms . they use pre-trained language models to detect euphoric and literal references to death .
Outcome: The proposed method improves on state-of-the-art language models.

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