Professor Karin Verspoor

  • Room: Level: 03 Room: 3.12
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Bioinformatics and Computational Bioscience
  • Biomedical Natural Language Processing (Text Mining)
  • Health informatics (Biomedical ontologies)

Personal webpage

http://www.textminingscience.com

Recent publications

  1. Bouadjenek, MR.; Zobel, J.; Verspoor, K. Automated assessment of biological database assertions using the scientific literature. BMC Bioinformatics. BMC. 2019, Vol. 20, Issue 1, pp. 1-22. DOI: 10.1186/s12859-019-2801-x
  2. Nguyen, DQ.; Verspoor, K. End-to-end neural relation extraction using deep biaffine attention. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SpringerLink. 2019, Vol. 11437 LNCS, pp. 729-738. DOI: 10.1007/978-3-030-15712-8_47
  3. Dat, QN.; Verspoor, K. From POS tagging to dependency parsing for biomedical event extraction. BMC Bioinformatics. BioMed Central. 2019, Vol. 20, Issue 1. DOI: 10.1186/s12859-019-2604-0
  4. Dogan, RI.; Kim, S.; Chatr-aryamontri, A.; Wei, C-H.; Comeau, DC.; Antunes, R.; Matos, S.; Chen, Q.; Elangovan, A.; Panyam, NC.; Verspoor, K.; Liu, H.; Wang, Y.; Liu, Z.; Altinel, B.; Husunbeyi, ZM.; Ozgur, A.; Fergadis, A.; Wang, C-K.; Dai, H-J.; Tran, T.; Kavuluru, R.; Luo, L.; Steppi, A.; Zhang, J.; Qu, J.; Lu, Z. Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. Database. OXFORD UNIV PRESS. 2019, Vol. 2019. DOI: 10.1093/database/bay147
  5. Névéol, A.; Yepes, AJ.; Neves, M.; Verspoor, K. Parallel corpora for the biomedical domain. LREC 2018 - 11th International Conference on Language Resources and Evaluation. European Language Resources Association. 2019, pp. 286-291.
  6. Valentine, JC.; Hall, L.; Verspoor, KM.; Worth, LJ. The current scope of healthcare-associated infection surveillance activities in hospitalized immunocompromised patients: a systematic review.. International Journal of Epidemiology. Oxford University Press (OUP). 2019. DOI: 10.1093/ije/dyz162
  7. Hur, B.; Hardefeldt, LY.; Verspoor, K.; Baldwin, T.; Gilkerson, JR. Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia. Australian Veterinary Journal. WILEY. 2019, Vol. 97, Issue 8, pp. 298-300. DOI: 10.1111/avj.12836
  8. Hameed, PN.; Verspoor, K.; Kusljic, S.; Halgamuge, S. A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration. BMC Bioinformatics. BMC. 2018, Vol. 19, Issue 1. DOI: 10.1186/s12859-018-2123-4
  9. Nguyen, DQ.; Verspoor, K. An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing. Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. Association for Computational Linguistics. 2018, pp. 81-91.
  10. Downie, LE.; Makrai, E.; Bonggotgetsakul, Y.; Dirito, LJ.; Kristo, K.; Pham, M-AN.; You, M.; Verspoor, K.; Pianta, MJ. Appraising the Quality of Systematic Reviews for Age-Related Macular Degeneration Interventions A Systematic Review. JAMA Ophthalmology. AMER MEDICAL ASSOC. 2018, Vol. 136, Issue 9, pp. 1051-1061. DOI: 10.1001/jamaophthalmol.2018.2620
  11. Chen, Q.; Panyam, NC.; Elangovan, A.; Verspoor, K. BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics. Database. OXFORD UNIV PRESS. 2018, Vol. 2018. DOI: 10.1093/database/bay122
  12. Verspoor, K.; Ofoghi, B.; Robles Granda, M. CommViz: Visualization of semantic patterns in large social communication networks. Information Visualization. SAGE PUBLICATIONS LTD. 2018, Vol. 17, Issue 1, pp. 66-88. DOI: 10.1177/1473871617693039
  13. Chen, Q.; Wan, Y.; Zhang, X.; Lei, Y.; Zobel, J.; Verspoor, K. Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases. Journal of Data and Information Quality. ASSOC COMPUTING MACHINERY. 2018, Vol. 9, Issue 3. DOI: 10.1145/3131611
  14. Nguyen, DQ.; Verspoor, K. Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings. Proceedings of the BioNLP 2018 workshop. Association for Computational Linguistics. 2018, pp. 129-136.
  15. Pianta, MJ.; Makrai, E.; Verspoor, KM.; Cohn, TA.; Downie, LE. Crowdsourcing critical appraisal of research evidence (CrowdCARE) was found to be a valid approach to assessing clinical research quality. Journal of Clinical Epidemiology. ELSEVIER SCIENCE INC. 2018, Vol. 104, pp. 8-14. DOI: 10.1016/j.jclinepi.2018.07.015
  16. Hoogeveen, D.; Bennett, A.; Li, Y.; Verspoor, KM.; Baldwin, T. Detecting misflagged duplicate questions in community question-answering archives. 12th International AAAI Conference on Web and Social Media, ICWSM 2018. AAAI Press. 2018, pp. 112-120.
  17. Khumrin, P.; Ryan, A.; Juddy, T.; Verspoor, K. DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.. AMIA ... Annual Symposium proceedings. AMIA Symposium. 2018, Vol. 2018, pp. 1348-1357.
  18. Panyam, NC.; Verspoor, K.; Cohn, T.; Ramamohanarao, K. Exploiting graph kernels for high performance biomedical relation extraction. J. Biomedical Semantics. BMC. 2018, Vol. 9, Issue 1. DOI: 10.1186/s13326-017-0168-3
  19. Lu, Y.; Sinnott, RO.; Verspoor, K.; Parampalli, U. Privacy-Preserving Access Control in Electronic Health Record Linkage. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE Explore. 2018, pp. 1079-1090. DOI: 10.1109/TrustCom/BigDataSE.2018.00151
  20. Chen, Q.; Zhang, X.; Wan, Y.; Zobel, J.; Verspoor, K. Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions.. Journal of Computational Biology. Mary Ann Liebert. 2018, Vol. 26, Issue 6, pp. 605-617. DOI: 10.1089/cmb.2018.0198

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile