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Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models
In this work, we propose the application of abstract meaning representation (AMR) based semantic parsing models to parse textual descriptions of a visual scene into scene graphs, which is the first work to the best of our knowledge.
Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models
We propose an in silico molecular associative memory model for pattern learning, storage and denoising using Pairwise Markov Random Field (PMRF) model.
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