{RoBuster}: A Corpus Annotated with Risk of Bias Text Spans in Randomized Controlled Trials

Bibtex entry :

@article { dhrangadhariya:jmir2023,
    author = { Dhrangadhariya, A and Hilfiker, R and Sattelmayer, KM and Naderi, N and Giacomino, K and Caliesch, R and Higgins, J and Marchand-Maillet, S and M\"uller, H },
    title = { {RoBuster}: A Corpus Annotated with Risk of Bias Text Spans in Randomized Controlled Trials },
    journal = { JMIR Preprints },
    number = { 55127 },
    volume = { 05/12/2023 },
    year = { 2023 },
    url = { https://preprints.jmir.org/preprint/55127 },
}
--

Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion