Apr 24, 2018 · In this paper, we explore a distance for WordNet synsets based on visual features, instead of lexical ones. For this purpose, we extract the ...
In this paper, we explore a distance for WordNet synsets based on visual features, instead of lexical ones. For this purpose, we extract the graphic features ...
Abstract. Measuring the distance between concepts is an important field of study of Natural Language Processing, as it can be used to improve.
This paper extracts the graphic features generated within a deep convolutional neural networks trained with ImageNet and uses those features to generate a ...
In this paper, we explore a distance for WordNet synsets based on visual features, instead of lexical ones. For this purpose, we extract the graphic features ...
In this paper, we explore a distance for WordNet synsets based on visual features, instead of lexical ones. For this purpose, we extract the graphic features ...
Share. A Visual Distance for WordNet. Book Chapter 2018. Share page with AddThis. URL: http://ebooks.iospress.nl/volumearticle/50416. Authors: Pérez-Arnal ...
Share. A Visual Distance for WordNet. International Conferences 2018. Share page with AddThis. Authors: Pérez-Arnal, Raquel / Vilalta, Armand / Garcia-Gasulla ...
Measuring the distance between concepts is an important field of study of Natural Language Processing, as it can be used to improve tasks related to the ...
Bibliographic details on A Visual Distance for WordNet.