Abstract
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. © 2014 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Di Nunzio, G. M., Bruza, P., & Sitbon, L. (2014). Interference in text categorisation experiments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8369 LNCS, pp. 22–33). Springer Verlag. https://doi.org/10.1007/978-3-642-54943-4_3
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