Add to ORKGInternational audienceWhen a user cannot find a word, he may think of semantically related words that could be used into an automatic process to help him. This paper presents an evaluation of lexical resources and semantic networks for modelling mental associations. A corpus of associations has been constructed for its evaluation. It is composed of 20 low frequency target words each associated 5 times by 20 users. In the experiments we look for the target word in propositions made from the associated words thanks to 5 different resources. The results show that even if each resource has a usefull specificity, the global recall is low. An experiment to extract common semantic features of several associations showed that we cannot expect to se...
Semantic memory has generated much research. As such, the majority of investigations have focused on...
Studies of lexical---semantic relations aim to understand the mechanism of semantic memory and the o...
One of the most significant recent advances in the study of semantic processing is the advent of mod...
When a user cannot find a word, he may think of semantically related words that could be used into a...
© Springer-Verlag Berlin Heidelberg 2016. All rights are reserved. Semantic networks are often used ...
In this article, we describe the most extensive set of word associations collected to date. The data...
This article presents and evaluates a model to automatically derive word association networks from t...
A central question in cognitive science is how semantic information is mentally represented. Two dom...
Recent work on evaluating representation learning architectures in NLP has established a need for ev...
Although there has been some research into the mental lexicon (the structure containing someone’s kn...
We present computational models capable of under-standing and conveying concepts based on word asso-...
Word associations have been used widely in psychology, but the validity of their application strongl...
The mental lexicon stores words and information about words. The lexicon is seen by many researchers...
International audienceThis paper is the fruit of a multidisciplinary project gathering researchers i...
Both in psychology and linguistics studies, memory is one of the core of interests amongst researche...
Semantic memory has generated much research. As such, the majority of investigations have focused on...
Studies of lexical---semantic relations aim to understand the mechanism of semantic memory and the o...
One of the most significant recent advances in the study of semantic processing is the advent of mod...
When a user cannot find a word, he may think of semantically related words that could be used into a...
© Springer-Verlag Berlin Heidelberg 2016. All rights are reserved. Semantic networks are often used ...
In this article, we describe the most extensive set of word associations collected to date. The data...
This article presents and evaluates a model to automatically derive word association networks from t...
A central question in cognitive science is how semantic information is mentally represented. Two dom...
Recent work on evaluating representation learning architectures in NLP has established a need for ev...
Although there has been some research into the mental lexicon (the structure containing someone’s kn...
We present computational models capable of under-standing and conveying concepts based on word asso-...
Word associations have been used widely in psychology, but the validity of their application strongl...
The mental lexicon stores words and information about words. The lexicon is seen by many researchers...
International audienceThis paper is the fruit of a multidisciplinary project gathering researchers i...
Both in psychology and linguistics studies, memory is one of the core of interests amongst researche...
Semantic memory has generated much research. As such, the majority of investigations have focused on...
Studies of lexical---semantic relations aim to understand the mechanism of semantic memory and the o...
One of the most significant recent advances in the study of semantic processing is the advent of mod...