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Tristan Naumann

Microsoft Research Health Futures

27 papers hereh-index 2610.1k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author23
  • last author2

Across the 25 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CL16
  • cs.LG5
  • cs.CV3
  • cs.CY1
  • cs.IR1
  • eess.AS1
affiliations
  • Microsoft Research Health Futures
  • Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
Homepage
same name
  • Tristan Naumann — 24 papers, h 18
  • Tristan Naumann — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedPublicly Available Clinical BERT Embeddings

732 citations · 1.4k across the 17 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

1 paper · 2 filters

cs.CL2019★ 732 cited

Publicly Available Clinical BERT Embeddings

Emily Alsentzer, John R. Murphy, Willie Boag +4

Contextual word embedding models such as ELMo (Peters et al., 2018) and BERT (Devlin et al., 2018) have dramatically improved performance for many natural language processing (NLP)…

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