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Dennis Schneider

1 paper hereh-index 110 citations2 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedEfficient Domain Adaptation of Sentence Embeddings Using Adapters

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2023★ 5 cited

Efficient Domain Adaptation of Sentence Embeddings Using Adapters

Tim Schopf, Dennis N. Schneider, Florian Matthes

Sentence embeddings enable us to capture the semantic similarity of short texts. Most sentence embedding models are trained for general semantic textual similarity tasks. Therefore…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.