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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 ( reposiTUm)

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 ( reposiTUm)

Alexander, D., Kusa, W., & de Vries, A. P. (2024). ORCAS-I query intent predictor as component of TIRA. In WOWS 2024 : Workshop on Open Web Search 2024 (pp. 23–29). CEUR-WS.org. http://hdl.handle.net/20.500.12708/210199 ( reposiTUm)

Styll, P., Kusa, W., & Hanbury, A. (2024). Enhancing Clinical Data Capture: Developing a Natural Language Processing Pipeline for Converting Free Text Admission Notes to Structured EHR Data. In NL4AI 2024: Eight Workshop on Natural Language for Artificial Intelligence. NL4AI 2024: Eight Workshop on Natural Language for Artificial Intelligence, Bolzano, Italy. http://hdl.handle.net/20.500.12708/210208 ( reposiTUm)

Kusa, W., Peikos, G., Staudinger, M., Lipani, A., & Hanbury, A. (2024). Normalised Precision at Fixed Recall for Evaluating TAR. In ICTIR ’24: Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval (pp. 43–49). Association for Computing Machinery. https://doi.org/10.1145/3664190.3672532 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Althammer, S., Zuccon, G., Hofstätter, S., Verberne, S., & Hanbury, A. (2023). Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. In Q. Ai, L. Liu, & A. Moffat (Eds.), SIGIR-AP ’23: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (pp. 139–149). Association for Computing Machinery. https://doi.org/10.1145/3624918.3625333 ( reposiTUm)

Ghafourian, Y., Hanbury, A., & Knoth, P. (2023). Readability Measures as Predictors of Understandability and Engagement in Searching to Learn. In O. Alonso, H. Cousijn, G. Silvello, M. Marrero, C. T. Lopes, & S. MARCHESIN (Eds.), Linking Theory and Practice of Digital Libraries: 27th International Conference on Theory and Practice of Digital Libraries, TPDL 2023, Zadar, Croatia, September 26–29, 2023, Proceedings (pp. 173–181). Springer. https://doi.org/10.1007/978-3-031-43849-3_15 ( reposiTUm)

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). http://hdl.handle.net/20.500.12708/192629 ( reposiTUm)

Ghafourian, Y., Hanbury, A., & Knoth, P. (2023). Ranking for Learning: Studying Users’ Perceptions of Relevance, Understandability, and Engagement. In O. Alonso, H. Cousijn, G. Silvello, M. Marrero, C. T. Lopes, & S. Marchesin (Eds.), Linking Theory and Practice of Digital Libraries: 27th International Conference on Theory and Practice of Digital Libraries, TPDL 2023, Zadar, Croatia, September 26–29, 2023, Proceedings (pp. 284–291). Springer. https://doi.org/10.1007/978-3-031-43849-3_25 ( reposiTUm)

Kusa, W., Styll, P., Seeliger, M., Espitia Mendoza, Ó., & Hanbury, A. (2023). DoSSIER at TREC 2023 Clinical Trials Track. In I. Soboroff (Ed.), The Thirty-Second Text REtrieval Conference (TREC 2023) Conference Proceedings. NIST. https://doi.org/10.34726/7159 ( reposiTUm)

Hofstätter, S., Khattab, O., Althammer, S., Sertkan, M., & Hanbury, A. (2022). Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. In CIKM ’22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 737–747). Association for Computing Machinery (ACM). https://doi.org/10.1145/3511808.3557367 ( reposiTUm)

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 ( reposiTUm)

Krestel, R., Aras, H., Andersson, L., Piroi, F., Hanbury, A., & Alderucci, D. (2022). 3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). In SIGIR ’22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 3474–3477). Association for Computing Machinery. https://doi.org/10.1145/3477495.3531702 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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. http://hdl.handle.net/20.500.12708/153348 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

Krestel, R., Aras, H., Andersson, L., Piroi, F., Hanbury, A., & Alderucci, D. (2021). 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). In F. Diaz, C. Shah, & T. Suel (Eds.), Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2693–2696). https://doi.org/10.1145/3404835.3462816 ( reposiTUm)

Krestel, R., Aras, H., Andersson, L., Piroi, F., Hanbury, A., & Alderucci, D. (Eds.). (2022). Proceedings of the 3rd Workshop on Patent Text Mining and Semantic Technologies. https://doi.org/10.34726/3550 ( reposiTUm)

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Hanbury, A. (2024, December 13). Evaluating Search for Systematic Review Creation [Keynote Presentation]. Forum for Information Retrieval Evaluation, Gandhinagar, India. ( reposiTUm)

Kusa, W. (2023, May). Rapid Systematic Reviews: Zero-shot Citation Screening with the Usage of Eligibility Criteria [Conference Presentation]. The 17th Conference of the European Chapter of the Association for Computational Linguistics, Dubrovnik, Croatia. ( reposiTUm)

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. ( reposiTUm)

Hanbury, A. (2022, April 10). The DoSSIER project: Domain Specific Systems for Information Extraction and Retrieval [Keynote Presentation]. 1st Workshop on Augmented Intelligence for Technology-Assisted Reviews Systems: Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems (with the ECIR), Stavanger, Norway. http://hdl.handle.net/20.500.12708/153992 ( reposiTUm)