# This file contains a dataset of 112 linguistic descriptions developed by an interdisciplinary team of

# This file contains a dataset of 112 linguistic descriptions developed by an interdisciplinary team of

# psychologists, linguists and neuroscientists in the frame of a project aimed at investigating the brain # activation in tasks of lexical processing and categorisation. It has been used in the paper (Lieto et al # 2016) for testing the DUAL PECCS system. The same dataset is re-used in this paper for assessing # the gain obtained by adopting a dual process perspective in conceptual categorisation task.
# This dataset is focused on common-sense linguistic descriptions of the animal domain.
# The “expected results” corresponds to the responses provided by human

# subjects (therefore the system answers are compared with those provided by the humans (see

# Radicioni et al. 2015 and Lieto et al. 2016 for details).
# References: Lieto A., Radicioni D., Rho V., Dual Peccs: A Cognitive System for Conceptual # Representation and Categorization. to appear in Journal of Experimental and Theoretical Artificial

# Intelligence JETAI (2016).

# DOI: http://dx.doi.org/10.1080/0952813X.2016.1198934

#

#Daniele P. Radicioni, Francesca Garbarini, Fabrizio Calzavarini, Monica Biggio, Antonio Lieto, #Katiuscia Sacco and Diego Marconi. On Mental Imagery in Lexical Processing: Computational #Modeling of the Visual Load Associated to Concepts. In G. Airenti and M. Cruciani (Editors) #Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science (EAP-COGSCI 2015), #181-186, CEUR-WS.org, ISSN 1613-0073, 2015

#

# The table contains: linguistic_description; target_concept; representation_type