Motivation With the exponential growth of the life sciences literature, biomedical text mining
(BTM) has become an essential technology for accelerating the extraction of insights from …

The identification of chemical–protein interactions described in the literature is an important
task with applications in drug design, precision medicine and biotechnology. Manual …

Short texts are a common source of knowledge, and the extraction of such valuable
information is beneficial for several purposes. Traditional topic models are incapable of …

Extracting biological interactions from published literature helps us understand complex
biological systems, accelerate research, and support decision-making in drug or treatment …

With the exponential growth of the life science literature, biomedical text mining (BTM) has
become an essential technology for accelerating the extraction of insights from publications …

With the rapid growth of biomedical literatures, there are a large amount of bio-text data to
be exploited. A wealth of knowledge concerning diseases associated with genes is present …

Cells adapt to environmental stresses mainly via transcription reprogramming. Correct
transcription control is mediated by the interactions between transcription factors (TF) and …

Automatically extracting relationships from biomedical texts among multiple sorts of entities
is an essential task in biomedical natural language processing with numerous applications …

Biomedical databases grow by more than a thousand new publications every day. The large
volume of biomedical literature that is being published at an unprecedented rate hinders the …

The research articles contain a wealth of information about the interactions between
biomedical entities. However, manual relation extraction processing from the literature by …