[HTML][HTML] The use of artificial intelligence for automating or semi-automating biomedical literature analyses: a scoping review

ÁO Dos Santos, ES da Silva, LM Couto… - Journal of Biomedical …, 2023 - Elsevier
Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

[HTML][HTML] Search strategy formulation for systematic reviews: Issues, challenges and opportunities

A MacFarlane, T Russell-Rose, F Shokraneh - Intelligent Systems with …, 2022 - Elsevier
Systematic literature reviews play a vital role in identifying the best available evidence for
health and social care research, policy, and practice. The resources required to produce …

Towards question-based recommender systems

J Zou, Y Chen, E Kanoulas - Proceedings of the 43rd international ACM …, 2020 - dl.acm.org
Conversational and question-based recommender systems have gained increasing
attention in recent years, with users enabled to converse with the system and better control …

Users meet clarifying questions: Toward a better understanding of user interactions for search clarification

J Zou, M Aliannejadi, E Kanoulas, MS Pera… - ACM Transactions on …, 2023 - dl.acm.org
The use of clarifying questions (CQs) is a fairly new and useful technique to aid systems in
recognizing the intent, context, and preferences behind user queries. Yet, understanding the …

Zero-shot Generative Large Language Models for Systematic Review Screening Automation

S Wang, H Scells, S Zhuang, M Potthast… - … on Information Retrieval, 2024 - Springer
Systematic reviews are crucial for evidence-based medicine as they comprehensively
analyse published research findings on specific questions. Conducting such reviews is often …

Scimine: An efficient systematic prioritization model based on richer semantic information

F Guo, Y Luo, L Yang, Y Zhang - … of the 46th International ACM SIGIR …, 2023 - dl.acm.org
Systematic review is a crucial method that has been widely used. by scholars from different
research domains. However, screening for relevant scientific literature from paper …

From little things big things grow: A collection with seed studies for medical systematic review literature search

S Wang, H Scells, J Clark, B Koopman… - Proceedings of the 45th …, 2022 - dl.acm.org
Medical systematic review query formulation is a highly complex task done by trained
information specialists. Complexity comes from the reliance on lengthy Boolean queries …

Towards question-based high-recall information retrieval: Locating the last few relevant documents for technology-assisted reviews

J Zou, E Kanoulas - ACM Transactions on Information Systems (TOIS), 2020 - dl.acm.org
While continuous active learning algorithms have proven effective in finding most of the
relevant documents in a collection, the cost for locating the last few remains high for …

Seed-driven document ranking for systematic reviews: A reproducibility study

S Wang, H Scells, A Mourad, G Zuccon - European conference on …, 2022 - Springer
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 …

Learning to ask: Question-based sequential Bayesian product search

J Zou, E Kanoulas - Proceedings of the 28th ACM international …, 2019 - dl.acm.org
Product search is generally recognized as the first and foremost stage of online shopping
and thus significant for users and retailers of e-commerce. Most of the traditional retrieval …