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 …

Motivation The amount of information available in textual format is rapidly increasing in the
biomedical domain. Therefore, natural language processing (NLP) applications are …

Paraphrase detection is important for a number of applications, including plagiarism
detection, authorship attribution, question answering, text summarization, text mining in …

Medical tourism is increasing quickly since it contributes to both the health and tourism
sectors. The use of big social data has been effective in the development of medical tourism …

Background Prioritisation of gene ontology terms from differential gene expression analyses
in a two-dimensional format remains a challenge with exponentially growing data volumes …

System and method for the indexing and retrieval of seman tically annotated information
units from a collection of semantically annotated indexed information units in response to a …

Diabetes is a serious chronic disease. The importance of clinical decision support systems
(CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy …

Short text similarity plays an important role in natural language processing (NLP). It has
been applied in many fields. Due to the lack of sufficient context in the short text, it is difficult …

Objective Case-based reasoning (CBR) is a problem-solving paradigm that uses past
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …

Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …