159 citations · 375 across the 45 of their papers we have counts for
7 papers · 1 filter
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents
Bevan Koopman, Ahmed Mourad, Hang Li +6
Decisions in agriculture are increasingly data-driven; however, valuable agricultural knowledge is often locked away in free-text reports, manuals and journal articles. Specialised…
Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search
Shuai Wang, Harrisen Scells, Bevan Koopman +1
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…
Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search
Shuai Wang, Harrisen Scells, Bevan Koopman +1
High-quality medical systematic reviews require comprehensive literature searches to ensure the recommendations and outcomes are sufficiently reliable. Indeed, searching for releva…
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?
Hang Li, Ahmed Mourad, Bevan Koopman +1
Pseudo-Relevance Feedback (PRF) assumes that the top results retrieved by a first-stage ranker are relevant to the original query and uses them to improve the query representation…
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
Shuai Wang, Harrisen Scells, Justin Clark +2
Medical systematic review query formulation is a highly complex task done by trained information specialists. Complexity comes from the reliance on lengthy Boolean queries, which e…
Improving Chest X-Ray Report Generation by Leveraging Warm Starting
Aaron Nicolson, Jason Dowling, Bevan Koopman
Automatically generating a report from a patient's Chest X-Rays (CXRs) is a promising solution to reducing clinical workload and improving patient care. However, current CXR report…
Semantic Search for Large Scale Clinical Ontologies
Duy-Hoa Ngo, Madonna Kemp, Donna Truran +2
Finding concepts in large clinical ontologies can be challenging when queries use different vocabularies. A search algorithm that overcomes this problem is useful in applications s…