… are still found lacking in the biomedical domain. In this paper, we seek to improve information
retrieval (IR) using neural retrievers (NR) in the biomedical domain, and achieve this goal …

… for biomedical information retrieval. Our goals include improving the relevance of multi-modal
(text and image) information retrieval, by including lessons learned from these efforts. …

… The goal of this book is to present the field of information retrieval (IR), with an emphasis on
… and biomedical domain. To many, "information retrieval" implies retrieving information of any …

… Towards addressing the problem of relevance in biomedical literature search, we introduce
a deep learning model for the relevance of a document's text to a keyword style query. …

… in general suitable for biomedical information retrieval. With such standard heuristics, we
can presumably have a strong baseline method for biomedical information retrieval, on which …

… The goal of this book is to present the field of information retrieval (IR), sometimes called …
biomedical and health domain. To many, “information retrieval” implies retrieving information of …

… increase in the amount of heterogeneous biomedical image production and publication, …
in biomedical images to take advantage in implementing effective information retrieval systems. …

… information retrieval in biomedicine and a re-ranking model to improve retrieval performance
in the biomedical … There is no need for our proposed method to use any external biomedical …

… for biomedical retrieval, because of the abundance of domain specific terminologies. To
enhance biomedical retrieval, … Learning to rank is a series of state-of-the-art information retrieval …

… Biomedical knowledge is growing at a high pace, and large … hidden biomedical knowledge
by applying information retrieval (IR) … , organization of, and access to the information items [1]. …