The effect of semantic distance in the picture-word interference task. - Simon De Deyne; Sven Van Lommel; Gerrit Storms (ExLing, 2006)

The Construction and Evaluation of Word Space Models. - Yves Peirsman; Simon De Deyne; Kris Heylen; Dirk Geeraerts (LREC, 2008)

Graded structure in adjective categories. - Simon De Deyne; Wouter Voorspoels; Steven Verheyen; Daniel J. Navarro; Gert Storms (CogSci, 2011)

Strong structure in weak semantic similarity: A graph based account. - Simon De Deyne; Daniel J. Navarro; Amy Perfors; Gert Storms (CogSci, 2012)

Associative strength and semantic activation in the mental lexicon: evidence from continued word associations. - Simon De Deyne; Daniel J. Navarro; Gert Storms (CogSci, 2013)

Using the letter decision task to examine semantic priming. - Tom Heyman; Simon De Deyne; Gert Storms (CogSci, 2013)

Right fusiform response patterns reflect visual object identity rather than semantic similarity. - Rose Bruffaerts; Patrick Dupont; Sophie De Grauwe; Ronald R. Peeters; Simon De Deyne; Gerrit Storms; Rik Vandenberghe (NeuroImage, 2013)

Amplitude of N400 component unaffected by lexical priming for moderately constraining sentences. - Elvira Khachatryan; Marijn van Vliet; Simon De Deyne; Gerrit Storms; Hovhannes Manvelyan; Marc M. Van Hulle (CIP, 2014)

Evidence for widespread thematic structure in the mental lexicon. - Simon De Deyne; Steven Verheyen; Amy Perfors; Daniel J. Navarro (CogSci, 2015)

Predicting Lexical Norms Using a Word Association Corpus. - Hendrik Vankrunkelsven; Steven Verheyen; Simon De Deyne; Gerrit Storms (CogSci, 2015)

Using network clustering to uncover the taxonomic and thematic structure of the mental lexicon. - Simon De Deyne; Steven Verheyen (NetWordS, 2015)

Comparing predictions of lexical norm data obtained using word associations and word collocation. - Hendrik Vankrunkelsven; Steven Verheyen; Simon De Deyne; Gert Storms (CogSci, 2016)

Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer. - Marijn van Vliet; Nikolay Chumerin; Simon De Deyne; Jan Roelf Wiersema; Wim Fias; Gerrit Storms; Marc M. Van Hulle (IEEE Trans. Biomed. Eng., 2016)

Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations. - Simon De Deyne; Amy Perfors; Daniel J. Navarro (IJCAI, 2017)

Cross-modal representation of spoken and written word meaning in left pars triangularis. - Antonietta Gabriella Liuzzi; Rose Bruffaerts; Ronald R. Peeters; Katarzyna Adamczuk; Emmanuel Keuleers; Simon De Deyne; Gerrit Storms; Patrick Dupont; Rik Vandenberghe (NeuroImage, 2017)

Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information. - Simon De Deyne; Amy Perfors; Danielle J. Navarro (CogSci, 2018)

Left perirhinal cortex codes for semantic similarity between written words defined from cued word association. - Antonietta Gabriella Liuzzi; Patrick Dupont; Ronald R. Peeters; Rose Bruffaerts; Simon De Deyne; Gert Storms; Rik Vandenberghe (NeuroImage, 2019)

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; Álvaro Cabana; Blair C. Armstrong (CogSci, 2020)

A Cross-linguistic Study into the Contribution of Affective Connotation in the Lexico-semantic Representation of Concrete and Abstract Concepts. - Simon De Deyne; Álvaro Cabana; Bing Li; Qing Cai; Meredith McKague (CogSci, 2020)

#lockdown: Network-Enhanced Emotional Profiling in the Time of COVID-19. - Massimo Stella; Valerio Restocchi; Simon De Deyne (Big Data Cogn. Comput., 2020)

#lockdown: network-enhanced emotional profiling at the times of COVID-19. - Massimo Stella; Valerio Restocchi; Simon De Deyne (CoRR, 2020)

A practical primer on processing semantic property norm data. - Erin M. Buchanan; Simon De Deyne; Maria Montefinese (Cogn. Process., 2020)

Representation of associative and affective semantic similarity of abstract words in the lateral temporal perisylvian language regions. - Karen Meersmans; Rose Bruffaerts; Tarik Jamoulle; Antonietta Gabriella Liuzzi; Simon De Deyne; Gert Storms; Patrick Dupont; Rik Vandenberghe (NeuroImage, 2020)

Visual and Affective Multimodal Models of Word Meaning in Language and Mind. - Simon De Deyne; Danielle J. Navarro; Guillem Collell; Andrew Perfors (Cogn. Sci., 2021)

Core words in semantic representation. - Andrew Wang; Simon De Deyne; Meredith McKague; Andrew Perfors (CogSci, 2022)

WAX: A New Dataset for Word Association eXplanations. - Chunhua Liu; Trevor Cohn; Simon De Deyne; Lea Frermann (AACL/IJCNLP (1), 2022)

Editorial: The Mental Lexicon, Blueprint of the Dictionaries of Tomorrow: Cognitive Aspects of the Lexicon. - Michael Zock; Simon De Deyne; Massimo Stella; Vito Pirrelli (Frontiers Artif. Intell., 2022)

Using Network Science to Understand the Aging Lexicon: Linking Individuals' Experience, Semantic Networks, and Cognitive Performance. - Dirk U. Wulff; Simon De Deyne; Samuel Aeschbach; Rui Mata (Top. Cogn. Sci., 2022)

Common words, uncommon meanings: Evidence for widespread gender differences in word meaning. - Simon De Deyne; Sophie Warner; Andrew Perfors (CogSci, 2023)

Understanding the Frequency of a Word by its Associates: A Network Perspective. - Qiawen Liu; Simon De Deyne; Xiaoya Jiang; Gary Lupyan (CogSci, 2023)

Word Prediction in Context: An Empirical Investigation of Core Vocabulary. - Andrew Wang; Simon De Deyne; Meredith McKague; Andrew Perfors (CogSci, 2023)

Towards hypergraph cognitive networks as feature-rich models of knowledge. - Salvatore Citraro; Simon De Deyne; Massimo Stella; Giulio Rossetti (EPJ Data Sci., 2023)

A Computational Approach to Identifying Cultural Keywords Across Languages. - Zheng Wei Lim; Harry Stuart; Simon De Deyne; Terry Regier; Ekaterina Vylomova; Trevor Cohn; Charles Kemp (Cogn. Sci., 2024)

Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations. - Chaoyi Xiang; Chunhua Liu; Simon De Deyne; Lea Frermann (ACL (1), 2025)

Compositionality and Sentence Meaning: Comparing Semantic Parsing and Transformers on a Challenging Sentence Similarity Dataset. - James Fodor; Simon De Deyne; Shinsuke Suzuki (Comput. Linguistics, 2025)