Althammer, S.; Buckley, M.; Hofstätter, S.; Hanbury, A. Linguistically Informed Masking for Representation Learning in the Patent Domain. In Proceedings of the 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech) 2021 co-located with the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021); 2021.

Althammer, S.; Hofstätter, S.; Hanbury, A. Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study. In European Conference on Information Retrieval; Springer, 2021; pp 3–17.

Althammer, S. RUDI: Real-Time Learning to Update Dense Retrieval Indices. Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021 2021.

Hofstätter, S.; Althammer, S.; Sertkan, M.; Hanbury, A. A Time-Optimized Content Creation Workflow for Remote Teaching. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1; 2022; pp 731–737.

Althammer, S.; Hofstätter, S.; Sertkan, M.; Verberne, S.; Hanbury, A. Paragraph Aggregation Retrieval Model (PARM) for Dense Document-to-Document Retrieval. In Advances in Information Retrieval, 44rd European Conference on IR Research, ECIR 2022; 2022.

Feucht, M.; Wu, Z.; Althammer, S.; Tresp, V. Description-Based Label Attention Classifier for Explainable ICD-9 Classification. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021); Association for Computational Linguistics, 2021; pp 62–66. https://doi.org/10.18653/v1/2021.wnut-1.8.

Buckley, M.; Althammer, S.; Qoku, A. PatentExplorer: Refining Patent Search with Domain-Specific Topic Models. In Proceedings of the 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech) 2021 co-located with the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021); 2021.

Hofstätter, S.; Althammer, S.; Sertkan, M.; Hanbury, A. Establishing Strong Baselines for TripClick Health Retrieval. In Advances in Information Retrieval, 44rd European Conference on IR Research, ECIR 2022; 2022.

Hofstätter, S.; Althammer, S.; Schröder, M.; Sertkan, M.; Hanbury, A. Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. 2020. https://doi.org/10.48550/ARXIV.2010.02666.

Hofstätter, S.; Lipani, A.; Althammer, S.; Zlabinger, M.; Hanbury, A. Mitigating the Position Bias of Transformer Models in Passage Re-Ranking. In Advances in Information Retrieval, 43rd European Conference on IR Research, ECIR 2021; 2021.

Hofstätter, S.; Khattab, O.; Althammer, S.; Sertkan, M.; Hanbury, A. Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions Using Enhanced Reduction. 2022. https://doi.org/10.48550/ARXIV.2203.13088.

Soufan, A.; Ruthven, I.; Azzopardi, L. Searching the Literature: An Analysis of an Exploratory Search Task. In ACM SIGIR Conference on Human Information Interaction and Retrieval; 2022; pp 146–157.

Soufan, A.; Ruthven, I.; Azzopardi, L. Untangling the Concept of Task in Information Seeking and Retrieval. In Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval; 2021; pp 73–81.

Soufan, A. Towards Understanding and Supporting Exploratory Searches. In Proceedings of the 2023 Conference on Human Information Interaction and Retrieval; 2023; pp 490–494.

Soufan, A.; Ruthven, I.; Azzopardi, L. Uncharted Territory: Understanding Exploratory Search Behaviours in Literature Reviews. In 2024 ACM SIGIR Conference on Human Information Interaction andRetrieval; 2024.

Askari, A.; Verberne, S.; Pasi, G. Expert Finding in Legal Community Question Answering. In European Conference on Information Retrieval; Springer, 2022; pp 22–30.

Askari, A.; Verberne, S. Combining Lexical and Neural Retrieval with Longformer-Based Summarization for Effective Case Law Retrieval. In Proceedings of the second international conference on design of experimental search & information retrieval systems; CEUR, 2021; pp 162–170.

Alexander, D.; de Vries, A. P. “This Research Is Funded by ...”: Named Entity Recognition of Financial Information in Research Papers. In BIR 2021: 11th International Workshop on Bibliometric-enhanced Information Retrieval at ECIR 2021; Sl: CEUR, 2021.

Alexander, D.; Kusa, W.; de Vries, A. P. ORCAS-I: Queries Annotated with Intent Using Weak Supervision. In SIGIR ’22: Proceedings of the 45rd International ACM SIGIR Conference on Research and Development in Information Retrieval; 2022.

McGregor, M.; Azzopardi, L.; Halvey, M. Untangling Cost, Effort, and Load in Information Seeking and Retrieval. In Proceedings of the 2021 Conference on Human Information Interaction and Retrieval; CHIIR ’21; Association for Computing Machinery: Canberra ACT, Australia, 2021; pp 151–161. https://doi.org/10.1145/3406522.3446026.

Ghafourian, Y.; Knoth, P.; Hanbury, A. Information Retrieval Evaluation in Knowledge Acquisition Tasks. Proceedings of the Third Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR)@CHIIR 2021, 88–95.

Ghafourian, Y. Relevance Models Based on the Knowledge Gap. In European Conference on Information Retrieval (ECIR); Springer, 2022; pp 488–495.

Peikos, G.; Pasi, G. Multidimensional Relevance in Legal and Health Domains. In Italian Information Retrieval (IIR) Workshop; 2021.

Peikos, G.; Espitia, O.; Pasi, G. UNIMIB at TREC 2021 Clinical Trials Track. In Text REtrieval Conferences (TREC); 2021.

Espitia, Ó.; Pasi, G. Neural IR for Domain-Specific Tasks. In Italian Information Retrieval (IIR) Workshop; 2021.

E. , Ó.; Pasi, G. Domain Context-Centered Retrieval for the Content Selection Task in the Simplification of Scientific Literature. In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023); 2023.

Kusa, W.; Ghafourian, Y. DOSSIER at TREC 2021 Clinical Trials Track. In Text REtrieval Conferences (TREC); 2021.

Kusa, W.; Hanbury, A.; Knoth, P. Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study. In Advances in Information Retrieval; Springer International Publishing, 2022; pp 584–598.

Kusa, W.; Peikos, G.; Espitia, Ó.; Hanbury, A.; Pasi, G. DoSSIER at MedVidQA 2022: Text-Based Approaches to Medical Video Answer Localization Problem. In Proceedings of the 21st Workshop on Biomedical Language Processing; Association for Computational Linguistics: Dublin, Ireland, 2022; pp 432–440. https://doi.org/10.18653/v1/2022.bionlp-1.43.

Fries, J. A.; Weber, L.; Seelam, N.; Altay, G.; Datta, D.; Garda, S.; Kang, M.; Su, R.; Kusa, W.; Cahyawijaya, S.; others. BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. In Advances in Neural Information Processing Systems; Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A., Eds.; Curran Associates, Inc., 2022; Vol. 35, pp 25792–25806.

Kusa, W.; Lipani, A.; Knoth, P.; Hanbury, A. An Analysis of Work Saved over Sampling in the Evaluation of Automated Citation Screening in Systematic Literature Reviews. Intelligent Systems with Applications 2023, 18, 200193. https://doi.org/https://doi.org/10.1016/j.iswa.2023.200193.

Kusa, W. Rapid Systematic Reviews: Zero-Shot Citation Screening with the Usage of Eligibility Criteria. In The 17th Conference of the European Chapter of the Association for Computational Linguistics Student Research Workshop; Dubrovnik, Croatia, 2023.

Kusa, W.; Mendoza, O. E.; Knoth, P.; Pasi, G.; Hanbury, A. Effective Matching of Patients to Clinical Trials Using Entity Extraction and Neural Re-Ranking. Journal of Biomedical Informatics 2023, JBI.

Kusa, W.; Lipani, A.; Knoth, P.; Hanbury, A. VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search Tasks. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’23); ACM: Taipei, Taiwan, 2023; p 5.

Kusa, W.; Zuccon, G.; Knoth, P.; Hanbury, A. Outcome-Based Evaluation of Systematic Review Automation. In Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR ’23); ACM: Taipei, Taiwan, 23AD; p 9. https://doi.org/10.1145/3578337.3605135.

Kusa, W.; Knoth, P.; Hanbury, A. CRUISE–Screening: Living Literature Reviews Toolbox. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ’23); ACM, New York, NY, USA: Birmingham, United Kingdom, 2023; p ToBeDetermined. https://doi.org/https://doi.org/10.1145/3583780.3614736.

Dhrangadhariya, A.; Kusa, W.; Müller, H.; Hanbury, A. HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-Based Classifiers for Claims Identification and PICO Extraction. In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023); Association for Computational Linguistics: Toronto, Canada, 2023; pp 1776–1782.

Kusa, W.; Mendoza, Ó. E.; Samwald, M.; Knoth, P.; Hanbury, A. CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews. In 37th Conference on Neural Information Processing Systems Track on Datasets and Benchmarks; 2023.

E. Mendoza, Ó.; Kusa, W.; El-Ebshihy, A.; Wu, R.; Pride, D.; Knoth, P.; Herrmannova, D.; Piroi, F.; Pasi, G.; Hanbury, A. Benchmark for Research Theme Classification of Scholarly Documents. In Proceedings of the Third Workshop on Scholarly Document Processing; Association for Computational Linguistics: Gyeongju, Republic of Korea, 2022; pp 253–262.

Upadhyay, R.; Pasi, G.; Viviani, M. An Overview on Evaluation Labs and Open Issues in Health-Related Credible Information Retrieval. In Italian Information Retrieval (IIR) Workshop; 2021.

Upadhyay, R.; Pasi, G.; Viviani, M. Health Misinformation Detection in Web Content: A Structural-, Content-Based, and Context-Aware Approach Based on Web2Vec. In Proceedings of the Conference on Information Technology for Social Good; 2021; pp 19–24.

Goeuriot, L.; Suominen, H.; Pasi, G.; Bassani, E.; Brew-Sam, N.; González-Sáez, G.; Kelly, L.; Mulhem, P.; Seneviratne, S.; Gyanendra Upadhyay, R.; others. Consumer Health Search at CLEF EHealth 2021. In CLEF 2021 Evaluation Labs and Workshop: Online Working Notes. CEUR-WS; 2021.

Stamatis, V.; Salampasis, M. Results Merging in the Patent Domain. In 24th Pan-Hellenic Conference on Informatics; Athens, Greece, 2020.

Kamateri, E.; Stamatis, V.; Diamantaras, K.; Salampasis, M. Automated Single-Label Patent Classification Using Ensemble Classifiers. In 14th International Conference on Machine Learning and Computing (ICMLC 2022); 2022.

Stamatis, V. End to End Neural Retrieval for Patent Prior Art Search. In: et al. Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, 2022.

Stamatis, V.; Salampasis, M.; Diamantaras, K. Machine Learning Methods for Results Merging in Patent Retrieval. Data Technologies and Applications 2022.

Peikos, G.; Alexander, D.; Pasi, G.; de Vries, A. P. Investigating the Impact of Query Representation on Medical Information Retrieval. In ECIR (2); Lecture Notes in Computer Science; Springer, 2023; Vol. 13981, pp 512–521.

Abolghasemi, A.; Verberne, S.; Azzopardi, L. Improving BERT-Based Query-by-Document Retrieval with Multi-Task Optimization. In The 44th European Conference on Information Retrieval; Springer, 2022; pp 3–12.

Abolghasemi, A.; Askari, A.; Verberne, S. On the Interpolation of Contextualized Term-Based Ranking with BM25 for Query-by-Example Retrieval. In Proceedings of the The 8th ACM SIGIR International Conference on the Theory of Information Retrieval; 2022.

Askari, A.; Abolghasemi, A.; Pasi, G.; Kraaij, W.; Verberne, S. Injecting the BM25 Score as Text Improves BERT-Based Re-Rankers. In Advances in Information Retrieval (ECIR 2023); Springer Nature Switzerland: Cham, 2023; pp 66–83.

Askari, A.; Verberne, S.; Abolghasemi, A.; Kraaij, W.; Pasi, G. Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-Based Re-Ranker. 2023. https://doi.org/10.48550/arXiv.2303.01200.

Askari, A.; Aliannejadi, M.; Kanoulas, E.; Verberne, S. Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts. In Generative Information Retrieval workshop at ACM SIGIR 2023; 2023.

Askari, A.; Abolghasemi, A.; Aliannejadi, M.; Kanoulas, E.; Verberne, S. CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts. In The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023); ACM, 2023.

Askari, A.; Aliannejadi, M.; Kanoulas, E.; Verberne, S. A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts. In The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023); ACM, 2023.

Askari, A.; Aliannejadi, M.; Meng, C.; Kanoulas, E.; Verberne, S. Expand, Highlight, Generate: RL-Driven Document Generation for Passage Reranking. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing; 2023.

Abolghasemi, A.; Azzopardi, L.; Askari, A.; de Rijke, M.; Verberne, S. Measuring Bias in a Ranked List Using Term-Based Representations. In ECIR 2024: 46th European Conference on Information Retrieval; Springer, 2024.

Abolghasemi, A.; Verberne, S.; Azzopardi, L.; de Rijke, M. On the Explainability of Exposing Query Identification. In 6th FAccTRec Workshop on Responsible Recommendation at RecSys 2023; ACM, 2023.

Abolghasemi, A.; Verberne, S.; Askari, A.; Azzopardi, L. Retrievability Bias Estimation Using Synthetically Generated Queries. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management; CIKM ’23; Association for Computing Machinery: <conf-loc>, <city>Birmingham</city>, <country>United Kingdom</country>, </conf-loc>, 2023; pp 3712–3716. https://doi.org/10.1145/3583780.3615221.

Pathak, K.; Azzopardi, L.; Halvey, M. Ranking Heterogeneous Search Result Pages Using the Interactive Probability Ranking Principle; 2024.

Pathak, K.; Azzopardi, L.; Halvey, M. The Influence of Presentation and Performance on User Satisfaction. In In Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 10 pages; 2024.

Niwanputri, G. S.; Toms, E.; Simpson, A. Untangling Cognitive Processes Underlying Knowledge Work. In Proceedings of the 2023 Conference on Human Information Interaction and Retrieval; CHIIR ’23; Association for Computing Machinery: Austin, TX, USA, 2023; pp 401–405. https://doi.org/10.1145/3576840.3586162.