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A new insight into sentence comprehension : the impact of word associations in sentence processing as shown by invasive EEG recording Ghent University Vrije Universiteit Brussel KU Leuven
Predicting human similarity judgments with distributional models: The value of word associations KU Leuven
© 1963-2018 ACL. Most distributional lexico-semantic models derive their representations based on external language resources such as text corpora. In this study, we propose that internal language models, that are more closely aligned to the mental representations of words could provide important insights into cognitive science, including linguistics. Doing so allows us to reflect upon theoretical questions regarding the structure of the mental ...
Predicting human similarity judgments with distributional models: The value of word associations KU Leuven
To represent the meaning of a word, most models use external language resources, such as text corpora, to derive the distributional properties of word usage. In this study, we propose that internal language models, that are more closely aligned to the mental representations of words, can be used to derive new theoretical questions regarding the structure of the mental lexicon. A comparison with internal models also puts into perspective a number ...
Better explanations of lexical and semantic cognition using networks derived from continued rather than single word associations KU Leuven
In this article, we describe the most extensive set of word associations collected to date. The database contains over 12,000 cue words for which more than 70,000 participants generated three responses in a multiple-response free association task. The goal of this study was (1) to create a semantic network that covers a large part of the human lexicon, (2) to investigate the implications of a multiple-response procedure by deriving a weighted ...
Structure and organization of the mental lexicon: A network approach derived from syntactic dependency relations and word associations KU Leuven
© Springer-Verlag Berlin Heidelberg 2016. All rights are reserved. Semantic networks are often used to represent the meaning of a word in the mental lexicon. To construct a large-scale network for this lexicon, text corpora provide a convenient and rich resource. In this chapter the network properties of a text-based approach are evaluated and comparedwith a more directway of assessing the mental content of the lexicon through word associations. ...
Word associations KU Leuven
Word associations: Norms for 1,424 Dutch words in a continuous task KU Leuven
This study describes the collection of a large set of word association norms. In a continuous word association task, norms for 1,424 Dutch words were gathered. For each cue, three association responses were obtained per participant. In total, an average of 268 responses were collected for each cue. We investigated the relationship with similar procedures, such as discrete association tasks and exemplar generation tasks. The results show that the ...
Left perirhinal cortex codes for semantic similarity between written words defined from cued word association University of Antwerp KU Leuven
Knowledge of visual and nonvisual attributes of concrete entities is distributed over neocortical uni- and polymodal association cortex. Here we investigated the role of left perirhinal cortex in explicit knowledge retrieval from written words. We examined whether it extended across visual and nonvisual properties, animate and inanimate entities, how this differed from picture input and how specific it was for perirhinal cortex compared to ...
Predicting lexical norms: A comparison between a word association model and text-based word co-occurrence models KU Leuven
In two studies we compare a distributional semantic model derived from word co-occurrences and a word association based model in their ability to predict properties that affect lexical processing. We focus on age of acquisition, concreteness, and three affective variables, namely valence, arousal, and dominance, since all these variables have been shown to be fundamental in word meaning. In both studies we use a model based on data obtained in a ...