This paper is in the following e-collection/theme issue:

Natural Language Processing (692) Clinical Informatics (1022) New Methods (944) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 3, No 2 (2015): April-June

Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations

Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations

Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations

Authors of this article:

Hanna Suominen1, 2, 3, 4 Author Orcid Image ;   Liyuan Zhou1, 2 Author Orcid Image ;   Leif Hanlen1, 2, 3 Author Orcid Image ;   Gabriela Ferraro1, 2 Author Orcid Image
Article Authors Cited by (26) Tweetations (2) Metrics

Hanna Suominen   1, 2, 3, 4 , BSc,MSc,PhD ;   Liyuan Zhou   1, 2 , MSc ;   Leif Hanlen   1, 2, 3 , BSc,BEng,PhD ;   Gabriela Ferraro   1, 2 , PhD

1 Canberra Research Laboratory, Machine Learning Research Group, NICTA, Canberra, ACT, Australia

2 College of Engineering and Computer Science, Australian National University, Canberra, ACT, Australia

3 Faculty of Health, University of Canberra, Canberra, ACT, Australia

4 Department of Future Technologies, University of Turku, Turku, Finland

Corresponding Author:

  • Hanna Suominen, BSc,MSc,PhD
  • Canberra Research Laboratory
  • Machine Learning Research Group
  • NICTA
  • Locked Bag 8001
  • Canberra, ACT, 2601
  • Australia
  • Phone: 61 431913826
  • Fax: 61 262676220
  • Email: hanna.suominen@nicta.com.au