Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies? (2022.emnlp-main)
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| Challenge: | a recent study examines whether vision-and-language models learn syntactic dependencies . a controlled evaluation of the models is crucial for a precise and rigorous test of their knowledge . |
| Approach: | They propose a task to evaluate understanding of predicate-noun dependencies in a controlled setup. |
| Outcome: | This study compares state-of-the-art models with a case study on predicate-noun dependencies. |
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Does Vision-and-Language Pretraining Improve Lexical Grounding? (2021.findings-emnlp)
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| Challenge: | Large pretrained language models (LMs) have been criticized for lack of grounding, i.e., connecting words to their meanings in the physical world. |
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