Paper ID: 2309.11252

The Scenario Refiner: Grounding subjects in images at the morphological level

Claudia Tagliaferri, Sofia Axioti, Albert Gatt, Denis Paperno

Derivationally related words, such as "runner" and "running", exhibit semantic differences which also elicit different visual scenarios. In this paper, we ask whether Vision and Language (V\&L) models capture such distinctions at the morphological level, using a a new methodology and dataset. We compare the results from V\&L models to human judgements and find that models' predictions differ from those of human participants, in particular displaying a grammatical bias. We further investigate whether the human-model misalignment is related to model architecture. Our methodology, developed on one specific morphological contrast, can be further extended for testing models on capturing other nuanced language features.

Submitted: Sep 20, 2023