Background: The reliable and usable (semi) automation of data extraction can support the
field of systematic review by reducing the workload required to gather information about the …

Objectives To describe randomized controlled trial (RCT) methodology reporting over time.
Study Design and Setting We used a deep learning-based sentence classification model …

Financial news items are unstructured sources of information that can be mined to extract
knowledge for market screening applications. They are typically written by market experts …

Complete and transparent reporting of randomized controlled trial publications (RCTs) is
essential for assessing their credibility. We aimed to develop text classification models for …

Objectives Transparent reporting of clinical trials is essential to assess the risk of bias and
translate research findings into clinical practice. While existing studies have shown that …

Microblogging platforms, of which Twitter is a representative example, are valuable
information sources for market screening and financial models. In them, users voluntarily …

PURPOSE Extracting inclusion and exclusion criteria in a structured, automated fashion
remains a challenge to developing better search functionalities or automating systematic …

Most biomedical information extraction (IE) approaches focus on entity types such as
diseases, drugs, and genes, and relations such as gene-disease associations. In this paper …

The assessment of problems identified by peer researchers during peer review is difficult
because the content of these reports is typically confidential. The current study sought to …

Objective: Acknowledging study limitations in a scientific publication is a crucial element in
scientific transparency and progress. However, limitation reporting is often inadequate …