| 2025 | ACL | Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations. | Chaoyi Xiang, Chunhua Liu, Simon De Deyne, Lea Frermann |
| 2025 | CogSci | Who Likes What? Comparing Personal Preferences with Group Predictions based on Gender and Extraversion Across Common Semantic Domains. | Simon De Deyne, Andrew Perfors |
| 2025 | CogSci | Communicative efficiency of distributional and semantically-based core vocabularies in narrative text comprehension. | Andrew Wang, Simon De Deyne, Meredith McKague, Andrew Perfors |
| 2024 | CogSci | Evaluating human-like similarity biases at every scale in Large Language Models: Evidence from remote and basic-level triads. | Simon De Deyne |
| 2024 | CogSci | Conceptual Diversity Across Languages and Cultures: A Study on Common Word Meanings among native English and Chinese speakers. | Jia Ke, Simon De Deyne |
| 2024 | CogSci | Are the most frequent words the most useful? Investigating core vocabulary in reading. | Andrew Wang, Simon De Deyne, Meredith McKague, Andrew Perfors |
| 2024 | CogSci | Word prediction is more than just predictability: An investigation of core vocabulary. | Andrew Wang, Simon De Deyne, Meredith McKague, Andrew Perfors |
| 2023 | CogSci | Common words, uncommon meanings: Evidence for widespread gender differences in word meaning. | Simon De Deyne, Sophie Warner, Andrew Perfors |
| 2023 | CogSci | Understanding the Frequency of a Word by its Associates: A Network Perspective. | Qiawen Liu, Simon De Deyne, Xiaoya Jiang, Gary Lupyan |
| 2023 | CogSci | Word Prediction in Context: An Empirical Investigation of Core Vocabulary. | Andrew Wang, Simon De Deyne, Meredith McKague, Andrew Perfors |
| 2022 | CogSci | Core words in semantic representation. | Andrew Wang, Simon De Deyne, Meredith McKague, Andrew Perfors |
| 2022 | IJCNLP | WAX: A New Dataset for Word Association eXplanations. | Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann |
| 2020 | CogSci | Exploring demographic differences in a large-scale study of Spanish word association norms: The role of age, gender, and nationality. | Gabriel Blanco-Gomez, Simon De Deyne, lvaro Cabana, Blair C. Armstrong |
| 2020 | CogSci | A Cross-linguistic Study into the Contribution of Affective Connotation in the Lexico-semantic Representation of Concrete and Abstract Concepts. | Simon De Deyne, lvaro Cabana, Bing Li, Qing Cai, Meredith McKague |
| 2018 | CogSci | Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information. | Simon De Deyne, Amy Perfors, Danielle J. Navarro |
| 2017 | IJCAI | Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations. | Simon De Deyne, Amy Perfors, Daniel J. Navarro |
| 2016 | CogSci | Comparing predictions of lexical norm data obtained using word associations and word collocation. | Hendrik Vankrunkelsven, Steven Verheyen, Simon De Deyne, Gert Storms |
| 2016 | COLING | Predicting human similarity judgments with distributional models: The value of word associations. | Simon De Deyne, Amy Perfors, Daniel J. Navarro |
| 2015 | CogSci | Evidence for widespread thematic structure in the mental lexicon. | Simon De Deyne, Steven Verheyen, Amy Perfors, Daniel J. Navarro |
| 2015 | CogSci | Predicting Lexical Norms Using a Word Association Corpus. | Hendrik Vankrunkelsven, Steven Verheyen, Simon De Deyne, Gerrit Storms |
| 2013 | CogSci | Associative strength and semantic activation in the mental lexicon: evidence from continued word associations. | Simon De Deyne, Daniel J. Navarro, Gert Storms |
| 2013 | CogSci | Using the letter decision task to examine semantic priming. | Tom Heyman, Simon De Deyne, Gert Storms |
| 2012 | CogSci | Strong structure in weak semantic similarity: A graph based account. | Simon De Deyne, Daniel J. Navarro, Amy Perfors, Gert Storms |
| 2011 | CogSci | Graded structure in adjective categories. | Simon De Deyne, Wouter Voorspoels, Steven Verheyen, Daniel J. Navarro, Gert Storms |
| 2008 | LREC | The Construction and Evaluation of Word Space Models. | Yves Peirsman, Simon De Deyne, Kris Heylen, Dirk Geeraerts |