Harry Scells

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Postdoctoral Research Fellow, UQ. Graduated from UQ (sponsored by CSIRO).

My research investigates how to improve medical systematic review creation with Information Retrieval. My research focuses on developing methods to assist information specialists in creating more effective queries in shorter periods of time. To do this, I am investigating automatic methods of query formulation, refinement, visualisation, and understandability.

For an overview of my research during my PhD, please visit the systematic reviews project page. Below is a list of publications I have authored. Please see the link to my Google scholar page above for a more comprehensive list.

Publications

• Shuai Wang and Harry Scells and Bevan Koopman and Guido Zuccon. 2023. Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
• Guido Zuccon and Harry Scells and Shengyao Zhuang. 2023. Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models. In The Proceedings of the 2023 ACM SIGIR on International Conference on Theory of Information Retrieval (ICTIR 2023).
• Shuai Wang and Harry Scells and Justin Clark and Guido Zuccon and Bevan Koopman. 2022. From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022).
• Shuai Wang and Harry Scells and Ahmed Mourad and Guido Zuccon. 2022. SDR for Systematic Reviews: A Reproducibility Study. In Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022).
• Shuai Wang and Harry Scells and Bevan Koopman and Guido Zuccon. 2022. Neural Rankers for Effective Screening Prioritization in Medical Systematic Review Literature Search. In Australasian Document Computing Symposium (ADCS 2022).
• Shuai Wang and Harry Scells and Bevan Koopman and Guido Zuccon. 2022. Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search. In Intelligent Systems with Applications (ISWA) Technology-Assisted Review Systems Special Issue.
• Harry Scells and Connor Forbes and Justin Clark and Bevan Koopman and Guido Zuccon. 2022. The Impact of Query Refinement on Systematic Review Literature Search: A Query Log Analysis. In The 8th ACM SIGIR International Conference on the Theory of Information Retrieval.
• Harry Scells and Shengyao Zhuang and Guido Zuccon. 2022. Reduce, Reuse, Recycle: Green Information Retrieval Research. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
• Bing Liu and Harry Scells and Wen Hua and Guido Zuccon and Genghong Zhao and Xia Zhang. 2022. Guiding Neural Entity Alignment with Compatibility. In EMNLP 2022.
• Shuai Wang and Hang Li and Harry Scells and Daniel Locke and Guido Zuccon. 2021. MeSH Term Suggestion for Systematic Review Literature Search. In Australasian Document Computing Symposium (ADCS 2021).
• Harry Scells and Jimmy and Guido Zuccon. 2021. Big Brother: A Drop-In Website Interaction Logging Service. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
• Kunpeng Qin and Harry Scells and Guido Zuccon. 2021. PECAN: A Platform for Searching Chat Conversations. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
• Bing Liu and Harry Scells and Wen Hua and Genghong Zhao and Guido Zuccon. 2021. ActiveEA: Active Learning for Neural Entity Alignment. In The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021).
• Harry Scells and Guido Zuccon and Mohamed A. Sharaf and Bevan Koopman. 2020. Sampling Query Variations for Learning to Rank to Improve Automatic Boolean Query Generation in Systematic Reviews. In Proceedings of The Web Conference 2020.
• Harry Scells and Guido Zuccon and Bevan Koopman and Justin Clark. 2020. A Computational Approach for Objectively Derived Systematic Review Search Strategies. In 42nd European Conference on IR Research.
• Harry Scells and Guido Zuccon and Bevan Koopman and Justin Clark. 2020. Automatic Boolean Query Formulation for Systematic Review Literature Search. In Proceedings of The Web Conference 2020.
• Harry Scells and Guido Zuccon and Bevan Koopman. 2020. A Comparison of Automatic Boolean Query Formulation for Systematic Reviews. In Information Retrieval Journal.
• Harry Scells and Guido Zuccon and Bevan Koopman. 2020. You Can Teach an Old Dog New Tricks - Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews. In 42nd European Conference on IR Research.
• Hang Li and Harry Scells and Guido Zuccon. 2020. Systematic Review Automation Tools for End-to-End Query Formulation. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20).
• Sitthichoke Subpaiboonkit and Xue Li and Xin Zhao and Harry Scells and Guido Zuccon. 2019. Causality Discovery with Domain Knowledge for Drug-Drug Interactions Discovery. In The 15th International Conference on Advanced Data Mining and Applications.
• Harry Scells and Guido Zuccon and Bevan Koopman and Justin Clark. 2019. Automatic Search Strategy Reformulation Interface for Systematic Reviews. In Proceedings of the Cochrane Colloquium 2019.
• Harry Scells and Guido Zuccon and Bevan Koopman. 2019. Automatic Boolean Query Refinement for Systematic Review Literature Search. In Proceedings of The Web Conference 2019.
• Harry Scells and Guido Zuccon and Bevan Koopman and Justin Clark. 2019. Visualising Systematic Review Search Strategies to Assist Information Specialists. In Proceedings of the Cochrane Colloquium 2019.
• Harry Scells and Guido Zuccon. 2019. ielab at the Open-Source IR Replicability Challenge 2019. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '19).
• Joao Palotti and Harry Scells and Guido Zuccon. 2019. TrecTools: an open-source Python library for Information Retrieval practitioners involved in TREC-like campaigns. In Proceedings of the 42nd annual international ACM SIGIR conference on Research and development in Information Retrieval.
• Harry Scells and Guido Zuccon. 2018. searchrefiner: A Query Visualisation and Understanding Tool for Systematic Reviews. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management.
• Harry Scells and Leif Azzopardi and Guido Zuccon and Bevan Koopman. 2018. Query Variation Performance Prediction for Systematic Reviews. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Harry Scells and Daniel Locke and Guido Zuccon. 2018. An Information Retrieval Experiment Framework for Domain Specific Applications. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Harry Scells and Guido Zuccon. 2018. Generating Better Queries for Systematic Reviews. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
• Harry Scells and Guido Zuccon and Anthony Deacon and Bevan Koopman. 2017. QUT ielab at CLEF eHealth 2017 technology assisted reviews track: Initial experiments with learning to rank. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation forum.
• Harry Scells and Guido Zuccon and Bevan Koopman and Anthony Deacon and Leif Azzopardi and Shlomo Geva. 2017. Integrating the framing of clinical questions via PICO into the retrieval of medical literature for systematic reviews. In Proceedings of the 26th ACM CIKM conference on Information and Knowledge Management.
• Harry Scells and Guido Zuccon and Bevan Koopman and Anthony Deacon and Shlomo Geva and Leif Azzopardi. 2017. A Test Collection for Evaluating Retrieval of Studies for Inclusion in Systematic Reviews. In Proceedings of the 40th annual international ACM SIGIR conference on Research and development in Information Retrieval.
• Daniel Locke and Guido Zuccon and Harry Scells. 2017. Automatic Query Generation from Legal Texts for Case Law Retrieval. In Asia Information Retrieval Symposium 2017.