Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …

Short text similarity measurement methods play an important role in many applications
within natural language processing. This paper reviews the research literature on short text …

Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …

In this study we present novel feature engineering techniques that leverage the biomedical
domain knowledge encoded in the Unified Medical Language System (UMLS) to improve …

As an effective data representation, storage, management, calculation and model for
analysis, ontology has attracted more and more attention by researchers and it has been …

The Human Phenotype Ontology (HPO) is widely used in the rare disease community for
differential diagnostics, phenotype-driven analysis of next-generation sequence-variation …

Background Natural language processing (NLP) has become an increasingly significant role
in advancing medicine. Rich research achievements of NLP methods and applications for …

Text mining has become an increasingly significant role in processing medical information.
The research of text mining enhanced medical has attracted much attention in view from the …

Ontologies are widely adopted in the biomedical domain to characterize various resources
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …

Semantic similarity estimation is an important component of analysing natural language
resources like clinical records. Proper understanding of concept semantics allows for …