Séminaire (Organisé par l’Equipe de recherche DI)


State University of New York at Stony Brook

Finding out about ’about’ : traditional and ludic quantification of the meanings of hedges in numeric expressions

Vendredi 7 février 2014 à 11h en salle A212

Résumé :

Eliciting numerical values requires us to quantitatively decode words commonly used to express or modify numbers in natural language. These words include ‘about’, ‘around’, ‘almost’, ‘exactly’, ‘nearly’, ‘below’, ‘at least’, ‘order of’, etc., which are collectively known as approximators or numerical hedges. We used Amazon Mechanical Turk to identify the implications of various approximators common in English. We can use the results both to decode the uncertainty in what a respondent says, and also to encode uncertainty uncovered by a risk assessment to express its results to a human being in his own language. The investigation strategies generalize easily to languages other than English.


FR SHIC 3272

Collegium UTC/CNRS