Abstract Natural Language Processing (NLP) is a branch of artificial intelligence that
involves the design and implementation of systems and algorithms able to interact through …

There is currently a growing interest in a deeper understanding of consumer behaviour. In
this context, the union of different disciplines such as neuroscience and marketing has given …

Biomedical text summarization (BTS) is proving to be an emerging area of work and
research with the need for sustainable healthcare applications such as evidence-based …

Background We present a text-mining tool for recognizing biomedical entities in scientific
literature. OGER++ is a hybrid system for named entity recognition and concept recognition …

The rapid growth of biomedical literature makes it challenging for researchers to stay
current. Integrating knowledge from various sources is crucial for studying complex …

Abstract Named Entity Recognition (NER), a popular method that is used for recognizing
entities that are present in a text document. It is a method for processing natural language …

Background Annotating scientific literature with ontology concepts is a critical task in biology
and several other domains for knowledge discovery. Ontology based annotations can power …

Motivation Information extraction by mining the scientific literature is key to uncovering
relations between biomedical entities. Most existing approaches based on natural language …

Automatic text summarization methods generate a shorter version of the input text to assist
the reader in gaining a quick yet informative gist. Existing text summarization methods …

The daily exponential increase of biomedical information in scientific literature and patents is
a main obstacle to foster advances in biomedical research. A fundamental step hereby is to …