Papers by Adrien Guille

1 papers
Exploring Semantics in Pretrained Language Model Attention (2024.starsem-1)

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Challenge: Abstract Meaning Representations (AMRs) encode the semantics of sentences in the form of graphs.
Approach: They propose to use attention heads of two LMs to detect semantic relations encoded in AMRs.
Outcome: The proposed models detect semantic relations without fine tuning, using both unsupervised and supervised learning techniques.

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