Graham McDonald

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Venues

University of Glasgow, UK (PHD)

Education History

University of Glasgow, UK

PHD

Publications

Thomas Jänich, Graham McDonald, Iadh Ounis
Query Exposure Prediction for Groups of Documents in Rankings. CoRR (2024)
Jack McKechnie, Graham McDonald
SARA: A Collection of Sensitivity-Aware Relevance Assessments. CoRR (2024)
Hitarth Narvala, Graham McDonald, Iadh Ounis
Effective Hierarchical Information Threading Using Network Community Detection. ECIR (1) (2023)
Hitarth Narvala, Graham McDonald, Iadh Ounis
Identifying chronological and coherent information threads using 5W1H questions and temporal relationships. Inf. Process. Manag. 60 (3) (2023)
Thomas Jänich, Graham McDonald, Iadh Ounis
ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval. ECIR (2) (2023)
Michael D. Ekstrand, Graham McDonald, Amifa Raj, Isaac Johnson
Overview of the TREC 2022 Fair Ranking Track. CoRR (2023)
Michael D. Ekstrand, Graham McDonald, Amifa Raj, Isaac L. Johnson
Overview of the TREC 2021 Fair Ranking Track. CoRR (2023)
Hitarth Narvala, Graham McDonald, Iadh Ounis
Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. CIKM (2022)
Graham McDonald, Craig Macdonald, Iadh Ounis
Search results diversification for effective fair ranking in academic search. Inf. Retr. J. 25 (1) (2022)
Erlend Frayling, Craig Macdonald, Graham McDonald, Iadh Ounis
Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Information. CLEF (2022)
Michael D. Ekstrand, Graham McDonald, Amifa Raj, Isaac Johnson
Overview of the TREC 2022 Fair Ranking Track. TREC (2022)
Thomas Jänich, Graham McDonald, Iadh Ounis
University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track. TREC (2022)
Hitarth Narvala, Graham McDonald, Iadh Ounis
The Role of Latent Semantic Categories and Clustering in Enhancing the Efficiency of Human Sensitivity Review. CHIIR (2022)
Hitarth Narvala, Graham McDonald, Iadh Ounis
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification. EMNLP (Findings) (2021)
Michael D. Ekstrand, Amifa Raj, Graham McDonald, Isaac Johnson
Overview of the TREC 2021 Fair Ranking Track. TREC (2021)
Hitarth Narvala, Graham McDonald, Iadh Ounis
Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. SIGIR (2020)
Graham McDonald, Craig Macdonald, Iadh Ounis
Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. SIGIR (2020)
Graham McDonald, Craig Macdonald, Iadh Ounis
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. ACM Trans. Inf. Syst. 39 (1) (2020)
Graham McDonald, Iadh Ounis
University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track. TREC (2020)
Graham McDonald
A framework for technology-assisted sensitivity review: using sensitivity classification to prioritise documents for review. SIGIR Forum 53 (1) (2019)
Graham McDonald, Craig Macdonald, Iadh Ounis
How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. CHIIR (2019)
Graham McDonald, Iadh Ounis, Craig Macdonald, Thibaut Thonet, Jean-Michel Renders
University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. TREC (2019)
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53 (2) (2019)
Graham McDonald, Craig Macdonald, Iadh Ounis
The FACTS of Technology-Assisted Sensitivity Review. CoRR (2019)
Graham McDonald, Craig Macdonald, Iadh Ounis
Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions. ECIR (2018)
Graham McDonald, Craig Macdonald, Iadh Ounis
Active Learning Strategies for Technology Assisted Sensitivity Review. ECIR (2018)
Graham McDonald, Nicolás García-Pedrajas, Craig Macdonald, Iadh Ounis
A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. SIGIR (2017)
Graham McDonald, Craig Macdonald, Iadh Ounis
Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings. ECIR (2017)
Graham McDonald
A Framework for Enhanced Text Classification in Sensitivity and Reputation Management. FDIA (2015)
Graham McDonald, Romain Deveaud, Richard McCreadie, Craig Macdonald, Iadh Ounis
Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. ICWSM (2015)
Richard McCreadie, Saul Vargas, Craig MacDonald, Iadh Ounis, Stuart Mackie, Jarana Manotumruksa, Graham McDonald
University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. TREC (2015)
Graham McDonald, Craig Macdonald, Iadh Ounis
Using Part-of-Speech N-grams for Sensitive-Text Classification. ICTIR (2015)
Timothy Gollins, Graham McDonald, Craig Macdonald, Iadh Ounis
On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. PIR@SIGIR (2014)
Graham McDonald, Craig Macdonald, Iadh Ounis, Timothy Gollins
Towards a Classifier for Digital Sensitivity Review. ECIR (2014)
Graham McDonald, Romain Deveaud, Richard McCreadie, Timothy Gollins, Craig Macdonald, Iadh Ounis
University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task. CLEF (Working Notes) (2014)
Nut Limsopatham, Craig Macdonald, Iadh Ounis, Graham McDonald, Matt-Mouley Bouamrane
University of Glasgow at Medical Records Track: Experiments with Terrier. TREC (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Graham McDonald