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

• URL: http://arxiv.org/abs/2309.11252v1
• Date: Wed, 20 Sep 2023 12:23:06 GMT
• Title: The Scenario Refiner: Grounding subjects in images at the morphological level
• Authors: Claudia Tagliaferri, Sofia Axioti, Albert Gatt and Denis Paperno
• Abstract summary: We ask whether Vision and Language (V&L) models capture such distinctions at the morphological level. We compare the results from V&L models to human judgements and find that models' predictions differ from those of human participants.
• Score: 2.401993998791928
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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