Computational Linguistics in the Netherlands Journal

Articles

• Preface

  Jens Lemmens, Lisa Hilte, Jens Van Nooten, Maxime De Bruyn, Pieter Fivez, Ine Gevers, Jeska Buhmann, Ehsan Lotfi, Nicolae Banari, Nerses Yuzbashyan, Walter Daelemans

  3-5

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• Personality Style Recognition via Machine Learning: Identifying Anaclitic and Introjective Personality Styles from Patients’ Speech

  Semere Kiros Bitew, Vincent Schelstraete, Klim Zaporojets, Kimberly Van Nieuwenhove, Reitske Meganck, Chris Develder

  7-29

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• Controllable Sentence Simplification in Dutch

  Theresa Seidl, Vincent Vandeghinste

  31-61

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• Benchmarking Zero-Shot Text Classification for Dutch

  Loic De Langhe, Aaron Maladry, Bram Vanroy, Luna De Bruyne, Pranaydeep Singh, Els Lefever, Orphée De Clercq

  63-90

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• Comparative Evaluation of Topic Detection: Humans vs. LLMs

  Andriy Kosar, Guy De Pauw, Walter Daelemans

  91-120

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• Detecting Dialect Features Using Normalised Pointwise Information

  H. W. Matthew Sung, Jelena Prokić

  121-145

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• Historical Dutch Spelling Normalization with Pretrained Language Models

  Andre Wolters, Andreas Van Cranenburgh

  147-171

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• Exploring LLMs’ Capabilities for Error Detection in Dutch L1 and L2 Writing Products

  Joni Kruijsbergen, Serafina Van Geertruyen, Véronique Hoste, Orphée De Clercq

  173-191

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• RobBERT-2023: Keeping Dutch Language Models Up-To-Date at a Lower Cost Thanks to Model Conversion

  Pieter Delobelle, François Remy

  193-203

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• Beyond Perplexity: Examining Temporal Generalization in Large Language Models via Definition Generation

  Iris Luden, Mario Giulianelli, Raquel Fernández

  205-232

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• The CLIN33 Shared Task on the Detection of Text Generated by Large Language Models

  Pieter Fivez, Walter Daelemans, Tim Van de Cruys, Yury Kashnitsky, Savvas Chamezopoulos, Hadi Mohammadi, Anastasia Giachanou, Ayoub Bagheri, Wessel Poelman, Juraj Vladika, Esther Ploeger, Johannes Bjerva, Florian Matthes, Hans van Halteren

  233-259

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