After decades of massive digitisation, an unprecedented number of historical documents are
available in digital format, along with their machine-readable texts. While this represents a …

Named Entity Recognition (NER) is a key component in NLP systems for question
answering, information retrieval, relation extraction, etc. NER systems have been studied …

Aryl hydrocarbon receptor (AHR) activation by tryptophan (Trp) catabolites enhances tumor
malignancy and suppresses anti-tumor immunity. The context specificity of AHR target …

Given the emergence of data science and machine learning throughout all aspects of
society, but particularly in the scientific domain, there is increased importance placed on …

Motivation Text mining has become an important tool for biomedical research. The most
fundamental text-mining task is the recognition of biomedical named entities (NER), such as …

We present mGENRE, a sequence-to-sequence system for the Multilingual Entity Linking
(MEL) problem—the task of resolving language-specific mentions to a multilingual …

In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …

Abstract Information encoded in natural language in biomedical literature publications is
only useful if efficient and reliable ways of accessing and analyzing that information are …

Objective Social media is becoming increasingly popular as a platform for sharing personal
health-related information. This information can be utilized for public health monitoring tasks …

The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …