Harry Scells
Harry Scells
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Paper-Conference
Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search
Medical systematic reviews typically require assessing all the documents retrieved by a search. The reason is two-fold: the task aims for “total recall”; and documents retrieved using Boolean search are an unordered set, and thus it is unclear how an assessor could examine only a subset.
Shuai Wang
,
Harrisen Scells
,
Bevan Koopman
,
Guido Zuccon
PDF
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Systematic reviews are comprehensive literature reviews for a highly focused research question. These reviews are considered the highest form of evidence in medicine. Complex Boolean queries are developed as part of the systematic review creation process to retrieve literature, as they permit reproducibility and understandability.
Shuai Wang
,
Harrisen Scells
,
Bevan Koopman
,
Guido Zuccon
PDF
Project
pybool_ir: A Toolkit for Domain-Specific Search Experiments
Undertaking research in domain-specific scenarios such as systematic review literature search, legal search, and patent search can often have a high barrier of entry due to complicated indexing procedures and complex Boolean query syntax.
Harrisen Scells
,
Martin Potthast
PDF
Code
Project
Smooth Operators for Effective Systematic Review Queries
Effective queries are crucial to minimising the time and cost of medical systematic reviews, as all retrieved documents must be judged for relevance. Boolean queries, developed by expert librarians, are the standard for systematic reviews.
Harrisen Scells
,
Ferdinand Schlatt
,
Martin Potthast
PDF
Code
Project
Video
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives
The Archive Query Log (AQL) is a previously unused, comprehensive query log collected at the Internet Archive over the last 25 years. Its first version includes 356 million queries, 137 million search result pages, and 1.
Jan Heinrich Reimer
,
Sebastian Schmidt
,
Maik Fröbe
,
Lukas Gienapp
,
Harrisen Scells
,
Benno Stein
,
Matthias Hagen
,
Martin Potthast
PDF
Code
Reduce, Reuse, Recycle: Green Information Retrieval Research
Awarded Best Paper Honorable Mention! Recent advances in Information Retrieval utilise energy-intensive hardware to produce state-of-the-art results. In areas of research highly related to Information Retrieval, such as Natural Language Processing and Machine Learning, there have been efforts to quantify and reduce the power and emissions produced by methods that depend on such hardware.
Harrisen Scells
,
Shengyao Zhuang
,
Guido Zuccon
PDF
Code
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
Fine-grained logging of interactions in user studies is important for studying user behaviour, among other reasons. However, in many research scenarios, the way interactions are logged are usually tied to a monolithic system.
Shuai Wang
,
Harrisen Scells
,
Justin Clark
,
Bevan Koopman
,
Guido Zuccon
Preprint
Dataset
MeSH Term Suggestion for Systematic Review Literature Search
Awarded Best Student Paper! High-quality medical systematic reviews require comprehensive literature searches to ensure the recommendations and outcomes are sufficiently reliable. Indeed, searching for relevant medical literature is a key phase in constructing systematic reviews and often involves domain (medical researchers) and search (information specialists) experts in developing the search queries.
Shuai Wang
,
Hang Li
,
Harrisen Scells
,
Daniel Locke
,
Guido Zuccon
PDF
Code
SDR for Systematic Reviews: A Reproducibility Study
Screening or assessing studies is critical to the quality and outcomes of a systematic review. Typically, a Boolean query retrieves the set of studies to screen. As the set of studies retrieved is unordered, screening all retrieved studies is usually required for high-quality systematic reviews.
Shuai Wang
,
Harrisen Scells
,
Ahmed Mourad
,
Guido Zuccon
PDF
Code
Big Brother: A Drop-In Website Interaction Logging Service
Fine-grained logging of interactions in user studies is important for studying user behaviour, among other reasons. However, in many research scenarios, the way interactions are logged are usually tied to a monolithic system.
Harrisen Scells
,
Jimmy
,
Guido Zuccon
PDF
Code
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