University of Glasgow at Medical Records Track: Experiments with Terrier. - Nut Limsopatham; Craig Macdonald; Iadh Ounis; Graham McDonald; Matt-Mouley Bouamrane (TREC, 2011)

University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task. - Graham McDonald; Romain Deveaud; Richard McCreadie; Timothy Gollins; Craig Macdonald; Iadh Ounis (CLEF (Working Notes), 2014)

Towards a Classifier for Digital Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis; Timothy Gollins (ECIR, 2014)

On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. - Timothy Gollins; Graham McDonald; Craig Macdonald; Iadh Ounis (PIR@SIGIR, 2014)

A Framework for Enhanced Text Classification in Sensitivity and Reputation Management. - Graham McDonald (FDIA, 2015)

Using Part-of-Speech N-grams for Sensitive-Text Classification. - Graham McDonald; Craig Macdonald; Iadh Ounis (ICTIR, 2015)

Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. - Graham McDonald; Romain Deveaud; Richard McCreadie; Craig Macdonald; Iadh Ounis (ICWSM, 2015)

University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. - Richard McCreadie; Saul Vargas; Craig MacDonald; Iadh Ounis; Stuart Mackie; Jarana Manotumruksa; Graham McDonald (TREC, 2015)

Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings. - Graham McDonald; Craig Macdonald; Iadh Ounis (ECIR, 2017)

A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. - Graham McDonald; Nicolás García-Pedrajas; Craig Macdonald; Iadh Ounis (SIGIR, 2017)

Active Learning Strategies for Technology Assisted Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (ECIR, 2018)

Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions. - Graham McDonald; Craig Macdonald; Iadh Ounis (ECIR, 2018)

How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (CHIIR, 2019)

University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. - Graham McDonald; Iadh Ounis; Craig Macdonald; Thibaut Thonet; Jean-Michel Renders (TREC, 2019)

The FACTS of Technology-Assisted Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (CoRR, 2019)

A framework for technology-assisted sensitivity review: using sensitivity classification to prioritise documents for review. - Graham McDonald (SIGIR Forum, 2019)

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. - Alexandra Olteanu; Jean Garcia-Gathright; Maarten de Rijke; Michael D. Ekstrand; Adam Roegiest; Aldo Lipani; Alex Beutel; Ana Lucic; Ana-Andreea Stoica; Anubrata Das 001; Asia Biega; Bart Voorn; et al. (SIGIR Forum, 2019)

A framework for technology-assisted sensitivity review: using sensitivity classification to prioritise documents for review. - Graham McDonald (2019)

Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (SIGIR, 2020)

Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. - Hitarth Narvala; Graham McDonald; Iadh Ounis (SIGIR, 2020)

University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track. - Graham McDonald; Iadh Ounis (TREC, 2020)

How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (ACM Trans. Inf. Syst., 2020)

RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification. - Hitarth Narvala; Graham McDonald; Iadh Ounis (EMNLP (Findings), 2021)

Overview of the TREC 2021 Fair Ranking Track. - Michael D. Ekstrand; Amifa Raj; Graham McDonald; Isaac Johnson 001 (TREC, 2021)

The Role of Latent Semantic Categories and Clustering in Enhancing the Efficiency of Human Sensitivity Review. - Hitarth Narvala; Graham McDonald; Iadh Ounis (CHIIR, 2022)

Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. - Hitarth Narvala; Graham McDonald; Iadh Ounis (CIKM, 2022)

Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Information. - Erlend Frayling; Craig Macdonald; Graham McDonald; Iadh Ounis (CLEF, 2022)

Overview of the TREC 2022 Fair Ranking Track. - Michael D. Ekstrand; Graham McDonald; Amifa Raj; Isaac Johnson 001 (TREC, 2022)

University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track. - Thomas Jänich; Graham McDonald; Iadh Ounis (TREC, 2022)

Search results diversification for effective fair ranking in academic search. - Graham McDonald; Craig Macdonald; Iadh Ounis (Inf. Retr. J., 2022)

ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval. - Thomas Jänich; Graham McDonald; Iadh Ounis (ECIR (2), 2023)

Effective Hierarchical Information Threading Using Network Community Detection. - Hitarth Narvala; Graham McDonald; Iadh Ounis (ECIR (1), 2023)

Identifying chronological and coherent information threads using 5W1H questions and temporal relationships. - Hitarth Narvala; Graham McDonald; Iadh Ounis (Inf. Process. Manag., 2023)

UoG Siephers at "Discharge Me!": Exploring Ways to Generate Synthetic Patient Notes From Multi-Part Electronic Health Records. - Erlend Frayling; Jake Lever; Graham McDonald (BioNLP@ACL, 2024)

Query Exposure Prediction for Groups of Documents in Rankings. - Thomas Jänich; Graham McDonald; Iadh Ounis (ECIR (2), 2024)

Improving Exposure Allocation in Rankings by Query Generation. - Thomas Jänich; Graham McDonald; Iadh Ounis (ECIR (5), 2024)

Displaying Evolving Events Via Hierarchical Information Threads for Sensitivity Review. - Hitarth Narvala; Graham McDonald; Iadh Ounis (ECIR (5), 2024)

Fairness-Aware Exposure Allocation via Adaptive Reranking. - Thomas Jänich; Graham McDonald; Iadh Ounis (SIGIR, 2024)

Bi-Objective Negative Sampling for Sensitivity-Aware Search. - Jack McKechnie; Graham McDonald; Craig Macdonald (SIGIR, 2024)

SARA: A Collection of Sensitivity-Aware Relevance Assessments. - Jack McKechnie; Graham McDonald (CoRR, 2024)

Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records. - Erlend Frayling; Jake Lever; Graham McDonald (CoRR, 2024)

Report on the 46th European Conference on Information Retrieval (ECIR 2024). - Graham McDonald; Craig Macdonald; Iadh Ounis (SIGIR Forum, 2024)

Fair Exposure Allocation Using Generative Query Expansion. - Thomas Jänich; Graham McDonald; Iadh Ounis (ECIR (4), 2025)

Context Example Selection for LLM Generated Relevance Assessments. - Jack McKechnie; Graham McDonald; Craig Macdonald (ECIR (1), 2025)

Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank. - Zeyan Liang; Graham McDonald; Iadh Ounis (SIGIR, 2025)

Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems. - Jack McKechnie; Graham McDonald; Craig Macdonald (SIGIR, 2025)

Quantifying Query Fairness Under Unawareness. - Thomas Jänich; Alejandro Moreo; Alessandro Fabris; Graham McDonald; Andrea Esuli; Iadh Ounis; Fabrizio Sebastiani 001 (CoRR, 2025)