In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …

The recent years have witnessed a rapid increase in the number of scientific articles in
biomedical domain. These literature are mostly available and readily accessible in …

Efficient distributed numerical word representation models (word embeddings) combined
with modern machine learning algorithms have recently yielded considerable improvement …

Abstract Motivation: Medical Subject Headings (MeSH) indexing, which is to assign a set of
MeSH main headings to citations, is crucial for many important tasks in biomedical text …

Background Due to the high cost of manual curation of key aspects from the scientific
literature, automated methods for assisting this process are greatly desired. Here, we report …

Background MeSH indexing is the task of assigning relevant MeSH terms based on a
manual reading of scholarly publications by human indexers. The task is highly important for …

Citation screening is a labour-intensive part of the process of a systematic literature review
that identifies citations eligible for inclusion in the review. In this paper, we present an …

Background: We saw a steady increase in the number of bibliographic studies published
over the years. The reason for this rise is attributed to the better accessibility of bibliographic …

Abstract Motivation: Medical Subject Headings (MeSHs) are used by National Library of
Medicine (NLM) to index almost all citations in MEDLINE, which greatly facilitates the …

Background: Network meta-analyses (NMAs) are statistical techniques used to synthesize
data from multiple studies and compare the effectiveness of different interventions for a …