This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …

Content-based recommender systems (CBRSs) rely on item and user descriptions (content)
to build item representations and user profiles that can be effectively exploited to suggest …

In this article, the R package LSAfun is presented. This package enables a variety of
functions and computations based on Vector Semantic Models such as Latent Semantic …

High cost for systematic review of biomedical literature has generated interest in decreasing
overall workload. This can be done by applying natural language processing techniques to …

Background Diagnosis codes are assigned to medical records in healthcare facilities by
trained coders by reviewing all physician authored documents associated with a patient's …

Background Behavioral activation (BA) is rooted in the behavioral theory of depression,
which states that increased exposure to meaningful, rewarding activities is a critical factor in …

Extracting concepts (such as drugs, symptoms, and diagnoses) from clinical narratives
constitutes a basic enabling technology to unlock the knowledge within and support more …

Automatic perception of human affective behaviour from facial expressions and recognition
of intentions and social goals from dialogue contexts would greatly enhance natural human …

This article describes the use of continuous vector space models for reasoning with a formal
knowledge base. The practical significance of these models is that they support fast …

Automatic query expansion techniques are widely applied for improving text retrieval
performance, using a variety of approaches that exploit several data sources for finding …