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researcher

Mark Perera

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.HC1

identity via Semantic Scholar / OpenAlex

most citedHuman Evaluation and Correlation with Automatic Metrics in Consultation Note Generation

3 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2022

Consultation Checklists: Standardising the Human Evaluation of Medical Note Generation

Aleksandar Savkov, Francesco Moramarco, Alex Papadopoulos Korfiatis +3

Evaluating automatically generated text is generally hard due to the inherently subjective nature of many aspects of the output quality. This difficulty is compounded in automatic…

cs.HC2022★ 2 cited

User-Driven Research of Medical Note Generation Software

Tom Knoll, Francesco Moramarco, Alex Papadopoulos Korfiatis +7

A growing body of work uses Natural Language Processing (NLP) methods to automatically generate medical notes from audio recordings of doctor-patient consultations. However, there…

cs.CL2022★ 3 cited

Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation

Francesco Moramarco, Alex Papadopoulos Korfiatis, Mark Perera +5

In recent years, machine learning models have rapidly become better at generating clinical consultation notes; yet, there is little work on how to properly evaluate the generated c…

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