Graham McDonald

Orcid: 0000-0002-1266-5996

According to our database1, Graham McDonald authored at least 38 papers between 2011 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records.
CoRR, 2024

SARA: A Collection of Sensitivity-Aware Relevance Assessments.
CoRR, 2024

Displaying Evolving Events Via Hierarchical Information Threads for Sensitivity Review.
Proceedings of the Advances in Information Retrieval, 2024

Improving Exposure Allocation in Rankings by Query Generation.
Proceedings of the Advances in Information Retrieval, 2024

Query Exposure Prediction for Groups of Documents in Rankings.
Proceedings of the Advances in Information Retrieval, 2024

2023
Identifying chronological and coherent information threads using 5W1H questions and temporal relationships.
Inf. Process. Manag., May, 2023

Effective Hierarchical Information Threading Using Network Community Detection.
Proceedings of the Advances in Information Retrieval, 2023

ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval.
Proceedings of the Advances in Information Retrieval, 2023

2022
Search results diversification for effective fair ranking in academic search.
Inf. Retr. J., 2022

University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

Overview of the TREC 2022 Fair Ranking Track.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Information.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

The Role of Latent Semantic Categories and Clustering in Enhancing the Efficiency of Human Sensitivity Review.
Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021
Overview of the TREC 2021 Fair Ranking Track.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review.
ACM Trans. Inf. Syst., 2020

University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Receptor: A Platform for Exploring Latent Relations in Sensitive Documents.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
A framework for technology-assisted sensitivity review: using sensitivity classification to prioritise documents for review.
PhD thesis, 2019

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval.
SIGIR Forum, 2019

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

The FACTS of Technology-Assisted Sensitivity Review.
CoRR, 2019

University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

2018
Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions.
Proceedings of the Advances in Information Retrieval, 2018

Active Learning Strategies for Technology Assisted Sensitivity Review.
Proceedings of the Advances in Information Retrieval, 2018

2017
A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings.
Proceedings of the Advances in Information Retrieval, 2017

2015
University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Using Part-of-Speech N-grams for Sensitive-Text Classification.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

A Framework for Enhanced Text Classification in Sensitivity and Reputation Management.
Proceedings of the Sixth BCS-IRSG Symposium on Future Directions in Information Access, 2015

2014
On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records.
Proceedings of the Proceeding of the 1st International Workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security co-located with 37th Annual International ACM SIGIR conference, 2014

Towards a Classifier for Digital Sensitivity Review.
Proceedings of the Advances in Information Retrieval, 2014

University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2011
University of Glasgow at Medical Records Track: Experiments with Terrier.
Proceedings of The Twentieth Text REtrieval Conference, 2011


  Loading...