We live in an information society that strongly relies on information retrieval systems, such as
search engines and conversational assistants. Consequently, the trustworthiness of these …

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

For thousands of years people have realized the importance of archiving and finding
information. With the advent of computers, it became possible to store large amounts of …

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

The semantic measures library and toolkit are robust open-source and easy to use software
solutions dedicated to semantic measures. They can be used for large-scale computations …

This paper presents a semantically rich document representation model for automatically
classifying financial documents into predefined categories utilizing deep learning. The …

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 …

Cross-lingual information retrieval (CLIR) systems facilitate users to query for information in
one language and retrieve relevant documents in another language. In general, CLIR …

Semantic similarity has become, in recent years, the backbone of numerous knowledge-
based applications dealing with textual data. From the different methods and paradigms …

Computing the semantic similarity between pairs of terms plays a vital role within a myriad of
shared data applications, such as data integration and ontology evolution. A first step …