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most citedGraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism

1 citations · 1 across the 12 of their papers we have counts for

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cs.CL2024★ 1 cited

GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism

Shuzhou Yuan, Michael Färber

Pretrained Language Models (PLMs) benefit from external knowledge stored in graph structures for various downstream tasks. However, bridging the modality gap between graph structur…

cs.CL2024

Embedded Named Entity Recognition using Probing Classifiers

Nicholas Popovič, Michael Färber

Streaming text generation has become a common way of increasing the responsiveness of language model powered applications, such as chat assistants. At the same time, extracting sem…