In word association tasks, participants respond with the first word that comes to mind on seeing a given cue. These responses are generally assumed to be influenced by a number of factors, including cue semantics, form, and textual distribution. Previous studies exploring the third of these influences have used pairwise association measures, such as mutual information, to evaluate the extent to which textual distributions influence response selection. In the current paper, a different approach is taken. Rather than examining co-occurrences between a cue and its observed responses, this paper explores the possibility that the cue’s holistic collocational environment shapes its associative profile. Regression modelling demonstrates that the p...
This article presents a study to distinguish and quantify the various types of semantic associations...
In two studies we compare a distributional semantic model derived from word co-occurrences and a wor...
We compared the quality of prediction of word variables based on a Dutch word association and text c...
L2 word association research is driven by the belief that association behaviour can reveal informati...
Words are characterized by a variety of lexical and psychological properties, such as their part of ...
In a word association task, the probability of producing a cer-tain response to a cue is considered ...
A number of properties of word associations, generated in a continuous task, were investigated. Firs...
Word association has been a popular tool for research in linguistics and psychology over the last ce...
Word associations have been used widely in psychology, but the validity of their application strongl...
In two studies we compare a distributional semantic model derived from word co-occurrences and a wor...
Semantic associations have served as a tool in cognitive science research for decades, and in recent...
© 2018 Association for Computational Linguistics. Simple reference games (Wittgenstein, 1953) are of...
In this article, we describe the most extensive set of word associations collected to date. The data...
Background: Given the impact of lexical properties such as valence, arousal, and concreteness in lan...
This article presents a study to distinguish and quantify the various types of semantic associations...
This article presents a study to distinguish and quantify the various types of semantic associations...
In two studies we compare a distributional semantic model derived from word co-occurrences and a wor...
We compared the quality of prediction of word variables based on a Dutch word association and text c...
L2 word association research is driven by the belief that association behaviour can reveal informati...
Words are characterized by a variety of lexical and psychological properties, such as their part of ...
In a word association task, the probability of producing a cer-tain response to a cue is considered ...
A number of properties of word associations, generated in a continuous task, were investigated. Firs...
Word association has been a popular tool for research in linguistics and psychology over the last ce...
Word associations have been used widely in psychology, but the validity of their application strongl...
In two studies we compare a distributional semantic model derived from word co-occurrences and a wor...
Semantic associations have served as a tool in cognitive science research for decades, and in recent...
© 2018 Association for Computational Linguistics. Simple reference games (Wittgenstein, 1953) are of...
In this article, we describe the most extensive set of word associations collected to date. The data...
Background: Given the impact of lexical properties such as valence, arousal, and concreteness in lan...
This article presents a study to distinguish and quantify the various types of semantic associations...
This article presents a study to distinguish and quantify the various types of semantic associations...
In two studies we compare a distributional semantic model derived from word co-occurrences and a wor...
We compared the quality of prediction of word variables based on a Dutch word association and text c...