Papers by Adam Dahlgren Lindström

2 papers
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case (2020.coling-main)

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Challenge: Semantic embeddings have advanced the state of the art for natural language processing tasks . but their inner workings are poorly understood and there is a shortage of analysis tools .
Approach: They propose to extend visual-semantic embeddings to multimodal domains by defining probing tasks for embeddable image-caption pairs and testing them with classifiers.
Outcome: The proposed probing tasks show up to 16% more accurate on visual-semantic embeddings compared to unimodal embedders . the proposed extensions to multimodal domains have been lauded as promising in natural language processing .
Bridging Perception, Memory, and Inference through Semantic Relations (2021.emnlp-main)

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Challenge: Recent studies suggest that it is impossible to learn meaning from surface form alone.
Approach: They propose to develop triadic systems that combine neural and symbolic methods to provide a seamless information flow between them.
Outcome: The proposed systems combine the strengths of neural and symbolic methods to achieve a seamless information flow between them.

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