TU Wien Informatics

20 Years

Role

  • CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews / Kusa, W., Mendoza, Ó. E., Samwald, M., Knoth, P., & Hanbury, A. (2023). CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews. In 37th Conference on Neural Information Processing Systems (NeurIPS 2023), Datasets and Benchmarks Track (pp. 1–17).
    Project: DoSSIER (2019–2024)
  • CRUISE-Screening: Living Literature Reviews Toolbox / Kusa, W., Knoth, P., & Hanbury, A. (2023). CRUISE-Screening: Living Literature Reviews Toolbox. In CIKM ’23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 5071–5075). Association for Computing Machinery. https://doi.org/10.1145/3583780.3614736
    Download: paper (2.13 MB)
  • Outcome-based evaluation of systematic review automation / Kusa, W., Zuccon, G., Knoth, P., & Hanbury, A. (2023). Outcome-based evaluation of systematic review automation. In ICTIR ’23: Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval (pp. 125–133). Association for Computing Machinery. https://doi.org/10.1145/3578337.3605135
    Download: full text (1.29 MB)
    Project: DoSSIER (2019–2024)
  • Effective matching of patients to clinical trials using entity extraction and neural re-ranking / Kusa, W., Mendoza, Ó. E., Knoth, P., Pasi, G., & Hanbury, A. (2023). Effective matching of patients to clinical trials using entity extraction and neural re-ranking. Journal of Biomedical Informatics, 144, Article 104444. https://doi.org/10.1016/j.jbi.2023.104444
    Project: DoSSIER (2019–2024)
  • HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction / Dhrangadhariya, A., Kusa, W., Müller, H., & Hanbury, A. (2023). HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction. In The 17th International Workshop on Semantic Evaluation (SemEval-2023). Proceedings of the Workshop (pp. 1776–1782). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.semeval-1.246
    Download: PDF (800 KB)
    Project: DoSSIER (2019–2024)
  • VoMBaT: a tool for visualising evaluation measure behaviour in high-recall search tasks / Kusa, W., Lipani, A., Knoth, P., & Hanbury, A. (2023). VoMBaT: a tool for visualising evaluation measure behaviour in high-recall search tasks. In SIGIR ’23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 3105–3109). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591802
    Download: full text (1.16 MB)
    Project: DoSSIER (2019–2024)
  • An analysis of work saved over sampling in the evaluation of automated citation screening in systematic literature reviews / Kusa, W., Lipani, A., Knoth, P., & Hanbury, A. (2023). An analysis of work saved over sampling in the evaluation of automated citation screening in systematic literature reviews. Intelligent Systems with Applications, 18, Article 200193. https://doi.org/10.1016/j.iswa.2023.200193
    Project: DoSSIER (2019–2024)
  • Benchmark for Research Theme Classification of Scholarly Documents / Mendoza, O., Kusa, W., El-Ebshihy, A. M., Wu, R., Pride, D., Knoth, P., Herrmannova, D., Piroi, F., Pasi, G., & Hanbury, A. (2022). Benchmark for Research Theme Classification of Scholarly Documents. In Proceedings of the Workshop. Third Workshop on Scholarly Document Processing (pp. 253–262). Association for Computational Linguistics. https://doi.org/10.34726/4521
    Download: PDF (519 KB)
    Project: DoSSIER (2019–2024)
  • ORCAS-I: Queries Annotated with Intent Using Weak Supervision / Alexander, D., Kusa, W., & de Vries, A. (2022). ORCAS-I: Queries Annotated with Intent Using Weak Supervision. In SIGIR ’22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 3057–3066). Association for Computing Machinery. https://doi.org/10.1145/3477495.3531737
    Download: PDF (978 KB)
    Project: DoSSIER (2019–2024)
  • Dataset Debt in Biomedical Language Modeling / Fries, J., Seelam, N., Altay, G., Weber, L., Kang, M., Datta, D., Su, R., Garda, S., Wang, B., Ott, S., Samwald, M., & Kusa, W. (2022). Dataset Debt in Biomedical Language Modeling. In Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models (pp. 137–145). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.bigscience-1.10
    Download: PDF (313 KB)
    Project: DoSSIER (2019–2024)
  • DoSSIER at MedVidQA 2022: Text-based Approaches to Medical Video Answer Localization Problem / Kusa, W., Peikos, G., Espitia Mendoza, Ó., Hanbury, A., & Pasi, G. (2022). DoSSIER at MedVidQA 2022: Text-based Approaches to Medical Video Answer Localization Problem. In Proceedings of the 21st Workshop on Biomedical Language Processing (pp. 432–440). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.bionlp-1.43
    Download: PDF (728 KB)
    Project: DoSSIER (2019–2024)
  • DOSSIER at TREC 2021 Clinical Trials Track / Kusa, W., & Ghafourian, T. (2022). DOSSIER at TREC 2021 Clinical Trials Track. In I. Soboroff & A. Ellis (Eds.), The Thirtieth Text REtrieval Conference (TREC 2021) Proceedings. NIST.
    Project: DoSSIER (2019–2024)
  • BigBio: A Framework for Data-Centric Biomedical Natural Language Processing / Fries, J., Weber, L., Seelam, N., Altay, G., Datta, D., Su, R., Garda, S., Kang, S. M., Biderman, S., Samwald, M., Bach, S. H., Kusa, W., Cahyawijaya, S., Barth, F., Ott, S., Sänger, M., Wang, B., Callahan, A., Leon Perinan, D., … Beilharz, B. (2022). BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (pp. 25792–25806). Neural information processing systems foundation. https://doi.org/10.34726/5346
    Download: PDF (997 KB)
    Project: DoSSIER (2019–2024)
  • Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study / Kusa, W., Hanbury, A., & Knoth, P. (2022). Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Norvag, & V. Setty (Eds.), Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part I (pp. 584–598). Springer. https://doi.org/10.34726/4261
    Download: paper (283 KB)
    Project: DoSSIER (2019–2024)
  • Evaluation of Automated Citation Screening with Normalised Work Saved over Sampling: an Analysis / Kusa, W. (2022). Evaluation of Automated Citation Screening with Normalised Work Saved over Sampling: an Analysis [Conference Presentation]. ALTARS 2022: 1st Workshop on Augmented Intelligence for Technology-Assisted Reviews Systems: Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems., Norway.
    Project: DoSSIER (2019–2024)