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Matthijs Westera

2 accepted papers

2020

Humans Meet Models on Object Naming: A New Dataset and Analysis

COLING 2020main

We release ManyNames v2 (MN v2), a verified version of an object naming dataset that contains dozens of valid names per object for 25K images. We analyze issues in the data collection method originally employed, standard in Language & Vision (L&V), and find that the main source of noise in the data…

2020

Similarity or deeper understanding? Analyzing the TED-Q dataset of evoked questions

COLING 2020main

We take a close look at a recent dataset of TED-talks annotated with the questions they implicitly evoke, TED-Q (Westera et al., 2020). We test to what extent the relation between a discourse and the questions it evokes is merely one of similarity or association, as opposed to deeper semantic/pragma…