Interference in text categorisation experiments


Autoria(s): Di Nunzio, Giorgio; Bruza, Peter D.; Sitbon, Laurianne
Data(s)

2014

Resumo

This article examines manual textual categorisation by human coders with the hypothesis that the law of total probability may be violated for difficult categories. An empirical evaluation was conducted to compare a one step categorisation task with a two step categorisation task using crowdsourcing. It was found that the law of total probability was violated. Both a quantum and classical probabilistic interpretations for this violation are presented. Further studies are required to resolve whether quantum models are more appropriate for this task.

Identificador

http://eprints.qut.edu.au/64088/

Publicador

Springer

Relação

http://download.springer.com/static/pdf/193/chp%253A10.1007%252F978-3-642-54943-4_3.pdf?auth66=1398994761_db77cca5892f3363bb59e06ccf951ba2&ext=.pdf

DOI:10.1007/978-3-642-54943-4_3

Di Nunzio, Giorgio, Bruza, Peter D., & Sitbon, Laurianne (2014) Interference in text categorisation experiments. In Quantum Interaction, Springer, Leicester, U.K., pp. 22-33.

Direitos

Copyright 2014 Springer-Verlag Berlin Heidelberg

Fonte

School of Electrical Engineering & Computer Science; Institute for Future Environments; School of Information Systems; Science & Engineering Faculty

Palavras-Chave #080611 Information Systems Theory #170202 Decision Making #text categorization #decision theory #cognitive model #quantum cognition
Tipo

Conference Paper