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Found 15 papers, 1 papers with code
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
In response, we introduce MedCPT, a first-of-its-kind Contrastively Pre-trained Transformer model for zero-shot semantic IR in biomedicine.
Comprehensively identifying Long Covid articles with human-in-the-loop machine learning
A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection.
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view
In this study we analyze the LitCovid collection, 13, 369 COVID-19 related articles found in PubMed as of May 15th, 2020 with the purpose of examining the landscape of literature and presenting it in a format that facilitates information navigation and understanding.
PDC -- a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed
In this work, we present PDC (probabilistic distributional clustering), a novel algorithm that, given a document collection, computes disjoint term sets representing topics in the collection.
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
For the post challenge, the performance of both Random Forest and the Encoder Network was improved; in particular, the correlation of the Encoder Network was improved by ~13%.
SingleCite: Towards an improved Single Citation Search in PubMed
A search that is targeted at finding a specific document in databases is called a Single Citation search.
MeSH-based dataset for measuring the relevance of text retrieval
Creating simulated search environments has been of a significant interest in infor-mation retrieval, in both general and bio-medical search domains.
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents
Here we present a query-document similarity measure motivated by the Word Mover's Distance.
Extracting drug–drug interactions from literature using a rich feature-based linear kernel approach
In this work, we propose an efficient and scalable system using a linear kernel to identify DDI information.
