We investigate asymmetry in corpus-derived and human word associations. Most prior work has studied paradigmatic relations, either derived from free association norms or from large corpora using measures of statistical associ-ation and semantic relatedness. By contrast, we investigate the syntagmatic relation between words in adjective-noun and noun-noun combinations and present a new experimental design for measuring the strength of human asso-ciations. Of particular importance for syntagmatic relations are asymmetric associations, whose associational strength is much larger in one direction (e.g., from Pyrrhic to victory) than in the other (e.g., from victory to Pyrrhic). We develop a number of corpus-derived measures of asymmetric associ...
In the history of psychology free word association has been studied in both adults and children for ...
Lexical co-occurrence is an important cue for detecting word associations. We present a theoretical ...
[EN] The development of a model to quantify semantic similarity and relatedness between words has be...
This article presents and evaluates a model to automatically derive word association networks from t...
Free word associations are the words people spontaneously come up with in re-sponse to a stimulus wo...
We present computational models capable of under-standing and conveying concepts based on word asso-...
Words are characterized by a variety of lexical and psychological properties, such as their part of ...
A number of properties of word associations, generated in a continuous task, were investigated. Firs...
We compared the quality of prediction of word variables based on a Dutch word association and text c...
In two studies we compare a distributional semantic model derived from word co-occurrences and a wor...
We address the problem of automatic classification of associative and semantic relations between wor...
This paper uses human verb associations as the basis for an investigation of verb properties, focusi...
Word associations have been used widely in psychology, but the validity of their application strongl...
This is the author accepted manuscript. The final version is available from Springer via the DOI in ...
Human ratings of valence, arousal, and dominance are frequently used to study the cognitive mechanis...
In the history of psychology free word association has been studied in both adults and children for ...
Lexical co-occurrence is an important cue for detecting word associations. We present a theoretical ...
[EN] The development of a model to quantify semantic similarity and relatedness between words has be...
This article presents and evaluates a model to automatically derive word association networks from t...
Free word associations are the words people spontaneously come up with in re-sponse to a stimulus wo...
We present computational models capable of under-standing and conveying concepts based on word asso-...
Words are characterized by a variety of lexical and psychological properties, such as their part of ...
A number of properties of word associations, generated in a continuous task, were investigated. Firs...
We compared the quality of prediction of word variables based on a Dutch word association and text c...
In two studies we compare a distributional semantic model derived from word co-occurrences and a wor...
We address the problem of automatic classification of associative and semantic relations between wor...
This paper uses human verb associations as the basis for an investigation of verb properties, focusi...
Word associations have been used widely in psychology, but the validity of their application strongl...
This is the author accepted manuscript. The final version is available from Springer via the DOI in ...
Human ratings of valence, arousal, and dominance are frequently used to study the cognitive mechanis...
In the history of psychology free word association has been studied in both adults and children for ...
Lexical co-occurrence is an important cue for detecting word associations. We present a theoretical ...
[EN] The development of a model to quantify semantic similarity and relatedness between words has be...