Search results

• 2020

  Exploring transformer text generation for medical dataset augmentation

  Amin-Nejad, A., Ive, J. & Velupillai, S., 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 4699-4708 10 p. (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Natural Language Processing 100%
  • Model Development 66%
  • Patient Information 33%
  • User Interfaces 33%
  • Data Access 33%
  51 Citations (Scopus)
• 2019

  Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms

  Viani, N., Kam, J., Yin, L., Verma, S., Stewart, R. J., Patel, R. & Velupillai, S. U., 21 Aug 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Seroussi, B., Ohno-Machado, L., Ohno-Machado, L. & Seroussi, B. (eds.). p. 418-422 5 p. (Studies in Health Technology and Informatics; vol. 264).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Natural Language Processing Systems 100%
  • Use Case 50%
  • Annotation 50%
  • Natural Language Processing 50%
  10 Citations (Scopus)

  73 Downloads (Pure)

• Text Classification to Inform Suicide Risk Assessment in Electronic Health Records

  Bittar, A. L., Velupillai, S. U., Roberts, A. & Dutta, R., 21 Aug 2019, Studies in Health Technology and Informatics. Vol. 264. p. 40-44 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Population Level 100%
  • Patient Data 100%
  • Text Data 100%
  • Unstructured Text 100%
  • Factor Dynamic 100%
  12 Citations (Scopus)

  162 Downloads (Pure)
• 2018

  Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health

  Ive, J., Gkotsis, G., Dutta, R., Stewart, R. & Velupillai, S., 2018, Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018. Loveys, K., Niederhoffer, K., Prud�hommeaux, E., Resnik, R. & Resnik, P. (eds.). Association for Computational Linguistics (ACL), p. 69-77 9 p. (Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Attention (Machine Learning) 100%
  • Mechanisms 100%
  • Neural Model 100%
  • Mental Health 100%
  • Attention 100%
  45 Citations (Scopus)
• 2014

  Overview of the ShARe/CLEF eHealth evaluation lab 2014

  Kelly, L., Goeuriot, L., Suominen, H., Schreck, T., Leroy, G., Mowery, D. L., Velupillai, S., Chapman, W. W., Martinez, D., Zuccon, G. & Palotti, J., 2014, Lecture Notes in Computer Science. Vol. 8685 LNCS. 20 p. (LNCS; vol. 8685).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Annotation 100%
  • Internet 66%
  • User 33%
  • Identification 33%
  • Information Extraction 33%
  86 Citations (Scopus)