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2020 – today
- 2024
[j12]Zheng Wei Lim
, Harry Stuart, Simon De Deyne, Terry Regier, Ekaterina Vylomova, Trevor Cohn, Charles Kemp:
A Computational Approach to Identifying Cultural Keywords Across Languages. Cogn. Sci. 48(1) (2024)- 2023
- [j11]Salvatore Citraro, Simon De Deyne, Massimo Stella, Giulio Rossetti:
Towards hypergraph cognitive networks as feature-rich models of knowledge. EPJ Data Sci. 12(1): 31 (2023) - [c21]Simon De Deyne, Sophie Warner, Andrew Perfors:
Common words, uncommon meanings: Evidence for widespread gender differences in word meaning. CogSci 2023 - [c20]Qiawen Liu, Simon De Deyne, Xiaoya Jiang, Gary Lupyan:
Understanding the Frequency of a Word by its Associates: A Network Perspective. CogSci 2023 - [c19]Andrew Wang, Simon De Deyne, Meredith McKague, Andrew Perfors:
Word Prediction in Context: An Empirical Investigation of Core Vocabulary. CogSci 2023 - [i2]Salvatore Citraro, Simon De Deyne, Massimo Stella, Giulio Rossetti:
Towards hypergraph cognitive networks as feature-rich models of knowledge. CoRR abs/2304.06375 (2023) - 2022
- [j10]Michael Zock, Simon De Deyne, Massimo Stella, Vito Pirrelli:
Editorial: The Mental Lexicon, Blueprint of the Dictionaries of Tomorrow: Cognitive Aspects of the Lexicon. Frontiers Artif. Intell. 5 (2022) - [j9]Dirk U. Wulff, Simon De Deyne, Samuel Aeschbach, Rui Mata:
Using Network Science to Understand the Aging Lexicon: Linking Individuals' Experience, Semantic Networks, and Cognitive Performance. Top. Cogn. Sci. 14(1): 93-110 (2022) - [c18]Andrew Wang, Simon De Deyne, Meredith McKague, Andrew Perfors:
Core words in semantic representation. CogSci 2022 - [c17]Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann:
WAX: A New Dataset for Word Association eXplanations. AACL/IJCNLP (1) 2022: 106-120 - 2021
- [j8]Simon De Deyne, Danielle J. Navarro, Guillem Collell, Andrew Perfors:
Visual and Affective Multimodal Models of Word Meaning in Language and Mind. Cogn. Sci. 45(1) (2021) - 2020
- [j7]Massimo Stella, Valerio Restocchi, Simon De Deyne:
#lockdown: Network-Enhanced Emotional Profiling in the Time of COVID-19. Big Data Cogn. Comput. 4(2): 14 (2020) - [j6]Erin M. Buchanan, Simon De Deyne, Maria Montefinese:
A practical primer on processing semantic property norm data. Cogn. Process. 21(4): 587-599 (2020) - [j5]Karen Meersmans, Rose Bruffaerts, Tarik Jamoulle, Antonietta Gabriella Liuzzi, Simon De Deyne, Gert Storms, Patrick Dupont, Rik Vandenberghe:
Representation of associative and affective semantic similarity of abstract words in the lateral temporal perisylvian language regions. NeuroImage 217: 116892 (2020) - [c16]Gabriel Blanco-Gomez, Simon De Deyne, Álvaro Cabana, Blair C. Armstrong:
Exploring demographic differences in a large-scale study of Spanish word association norms: The role of age, gender, and nationality. CogSci 2020 - [c15]Simon De Deyne, Álvaro Cabana, Bing Li, Qing Cai, Meredith McKague:
A Cross-linguistic Study into the Contribution of Affective Connotation in the Lexico-semantic Representation of Concrete and Abstract Concepts. CogSci 2020 - [i1]Massimo Stella, Valerio Restocchi, Simon De Deyne:
#lockdown: network-enhanced emotional profiling at the times of COVID-19. CoRR abs/2005.04404 (2020)
2010 – 2019
- 2019
- [j4]Antonietta Gabriella Liuzzi, Patrick Dupont, Ronald R. Peeters, Rose Bruffaerts, Simon De Deyne, Gert Storms, Rik Vandenberghe:
Left perirhinal cortex codes for semantic similarity between written words defined from cued word association. NeuroImage 191: 127-139 (2019) - 2018
- [c14]Simon De Deyne, Amy Perfors, Danielle J. Navarro:
Learning word meaning with little means: An investigation into the inferential capacity of paradigmatic information. CogSci 2018 - 2017
- [j3]Antonietta Gabriella Liuzzi, Rose Bruffaerts, Ronald R. Peeters, Katarzyna Adamczuk, Emmanuel Keuleers, Simon De Deyne, Gerrit Storms, Patrick Dupont, Rik Vandenberghe:
Cross-modal representation of spoken and written word meaning in left pars triangularis. NeuroImage 150: 292-307 (2017) - [c13]Simon De Deyne, Amy Perfors, Daniel J. Navarro:
Predicting Human Similarity Judgments with Distributional Models: The Value of Word Associations. IJCAI 2017: 4806-4810 - 2016
- [j2]Marijn van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roelf Wiersema, Wim Fias, Gerrit Storms, Marc M. Van Hulle:
Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer. IEEE Trans. Biomed. Eng. 63(1): 55-66 (2016) - [c12]Hendrik Vankrunkelsven, Steven Verheyen, Simon De Deyne, Gert Storms:
Comparing predictions of lexical norm data obtained using word associations and word collocation. CogSci 2016 - [c11]Simon De Deyne, Amy Perfors, Daniel J. Navarro:
Predicting human similarity judgments with distributional models: The value of word associations. COLING 2016: 1861-1870 - 2015
- [c10]Simon De Deyne, Steven Verheyen, Amy Perfors, Daniel J. Navarro:
Evidence for widespread thematic structure in the mental lexicon. CogSci 2015 - [c9]Hendrik Vankrunkelsven, Steven Verheyen, Simon De Deyne, Gerrit Storms:
Predicting Lexical Norms Using a Word Association Corpus. CogSci 2015 - [c8]Simon De Deyne, Steven Verheyen:
Using network clustering to uncover the taxonomic and thematic structure of the mental lexicon. NetWordS 2015: 172-176 - 2014
- [c7]Elvira Khachatryan, Marijn van Vliet, Simon De Deyne, Gerrit Storms, Hovhannes Manvelyan, Marc M. Van Hulle:
Amplitude of N400 component unaffected by lexical priming for moderately constraining sentences. CIP 2014: 1-6 - 2013
- [j1]Rose Bruffaerts, Patrick Dupont, Sophie De Grauwe, Ronald R. Peeters, Simon De Deyne, Gerrit Storms, Rik Vandenberghe:
Right fusiform response patterns reflect visual object identity rather than semantic similarity. NeuroImage 83: 87-97 (2013) - [c6]Simon De Deyne, Daniel J. Navarro, Gert Storms:
Associative strength and semantic activation in the mental lexicon: evidence from continued word associations. CogSci 2013 - [c5]Tom Heyman, Simon De Deyne, Gert Storms:
Using the letter decision task to examine semantic priming. CogSci 2013 - 2012
- [c4]Simon De Deyne, Daniel J. Navarro, Amy Perfors, Gert Storms:
Strong structure in weak semantic similarity: A graph based account. CogSci 2012 - 2011
- [c3]Simon De Deyne, Wouter Voorspoels, Steven Verheyen, Daniel J. Navarro, Gert Storms:
Graded structure in adjective categories. CogSci 2011
2000 – 2009
- 2008
- [c2]Yves Peirsman, Simon De Deyne, Kris Heylen, Dirk Geeraerts:
The Construction and Evaluation of Word Space Models. LREC 2008 - 2006
- [c1]Simon De Deyne, Sven Van Lommel, Gerrit Storms:
The effect of semantic distance in the picture-word interference task. ExLing 2006: 113-116
Coauthor Index
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