| 2023 | ECIR | Automatic and Analytical Field Weighting for Structured Document Retrieval. | Tuomas Ketola, Thomas Roelleke |
| 2022 | ICTIR | Formal Constraints for Structured Document Retrieval. | Tuomas Ketola, Thomas Roelleke |
| 2021 | CIKM | ADOR: A New Medical Dataset for Sentiment-based IR. | Mohammad Bahrani, Thomas Roelleke |
| 2020 | CIKM | FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical Ranking. | Mohammad Bahrani, Thomas Roelleke |
| 2020 | SIGIR | BM25-FIC: Information Content-based Field Weighting for BM25F. | Tuomas Ketola, Thomas Roelleke |
| 2015 | ICTIR | IR meets NLP: On the Semantic Similarity between Subject-Verb-Object Phrases. | Dmitrijs Milajevs, Mehrnoosh Sadrzadeh, Thomas Roelleke |
| 2013 | DaWaK | Document Difficulty Framework for Semi-automatic Text Classification. | Miguel Martinez-Alvarez, Alejandro Bellogn, Thomas Roelleke |
| 2013 | ICTIR | Mathematical Specification and Logic Modelling in the context of IR. | Miguel Martinez-Alvarez, Marco Bonzanini, Thomas Roelleke |
| 2013 | ICTIR | IR Models: Foundations and Relationships. | Thomas Roelleke |
| 2013 | SIGIR | Extractive summarisation via sentence removal: condensing relevant sentences into a short summary. | Marco Bonzanini, Miguel Martinez-Alvarez, Thomas Roelleke |
| 2013 | VLDB | On the modelling of ranking algorithms in probabilistic datalog. | Thomas Roelleke, Marco Bonzanini, Miguel Martinez-Alvarez |
| 2012 | ECIR | Semi-automatic Document Classification: Exploiting Document Difficulty. | Miguel Martinez-Alvarez, Sirvan Yahyaei, Thomas Roelleke |
| 2012 | SIGIR | Opinion summarisation through sentence extraction: an investigation with movie reviews. | Marco Bonzanini, Miguel Martinez-Alvarez, Thomas Roelleke |
| 2012 | SIGIR | IR models: foundations and relationships. | Thomas Roelleke |
| 2012 | SIGMOD | A schema-driven approach for knowledge-oriented retrieval and query formulation. | Hany Azzam, Sirvan Yahyaei, Marco Bonzanini, Thomas Roelleke |
| 2011 | CIKM | Ranking-based processing of SQL queries. | Hany Azzam, Thomas Roelleke, Sirvan Yahyaei |
| 2011 | ICTIR | A Generic Data Model for Schema-Driven Design in Information Retrieval Applications. | Hany Azzam, Thomas Roelleke |
| 2011 | ICTIR | A Descriptive Approach to Classification. | Miguel Martinez-Alvarez, Thomas Roelleke |
| 2011 | SPIRE | Cross-Lingual Text Fragment Alignment Using Divergence from Randomness. | Sirvan Yahyaei, Marco Bonzanini, Thomas Roelleke |
| 2010 | CIKM | SQR: a semantic query rating scheme. | Hany Azzam, Thomas Roelleke |
| 2010 | ECIR | Recent Developments in Information Retrieval. | Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rger, Keith van Rijsbergen |
| 2009 | CIKM | A case for probabilistic logic for scalable patent retrieval. | Iraklis A. Klampanos, Hany Azzam, Thomas Roelleke |
| 2009 | ICTIR | Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification. | Hengzhi Wu, Thomas Roelleke |
| 2008 | SIGIR | TF-IDF uncovered: a study of theories and probabilities. | Thomas Roelleke, Jun Wang |