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Dimitris Mamakas

1 paper here

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author position
  • first 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 citedProcessing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2022★ 2 cited

Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer

Dimitris Mamakas, Petros Tsotsi, Ion Androutsopoulos +1

Pre-trained Transformers currently dominate most NLP tasks. They impose, however, limits on the maximum input length (512 sub-words in BERT), which are too restrictive in the legal…

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