Abstract Context Systematic Literature Review (SLR) studies aim to identify relevant primary
papers, extract the required data, analyze, and synthesize results to gain further and broader …

Background The large and growing number of published studies, and their increasing rate of
publication, makes the task of identifying relevant studies in an unbiased way for inclusion in …

Representation learning is a critical ingredient for natural language processing systems.
Recent Transformer language models like BERT learn powerful textual representations, but …

Abstract PubTator Central (https://www. ncbi. nlm. nih. gov/research/pubtator/) is a web
service for viewing and retrieving bioconcept annotations in full text biomedical articles …

Coreference resolution aims at resolving repeated references to an object in a document
and forms a core component of natural language processing (NLP) research. When used as …

Across academia and industry, text mining has become a popular strategy for keeping up
with the rapid growth of the scientific literature. Text mining of the scientific literature has …

Since its introduction in the late nineteen eighties, the discipline of Enterprise Architecture
(EA) has evolved into a well-known practice of managing information systems in alignment …

Background Manually annotated corpora are critical for the training and evaluation of
automated methods to identify concepts in biomedical text. Results This paper presents the …

Background In the era of information overload, natural language processing (NLP)
techniques are increasingly needed to support advanced biomedical information …

In response to the unbridled growth of information in literature and biomedical databases,
researchers require efficient means of handling and extracting information. As well as …