Distributional semantics is a usage-based model of meaning, based on the assumption that
the statistical distribution of linguistic items in context plays a key role in characterizing their …

The form of a word sometimes conveys semantic information. For example, the iconic word
gurgle sounds like what it means, and busy is easy to identify as an English adjective …

Distributional semantics has deeply changed in the last decades. First, predict models stole
the thunder from traditional count ones, and more recently both of them were replaced in …

Drawing from recent advances in the field of health sociology, our study highlights topics
and framings of health technologies (HT) diffused online by more than 4,000 identified …

Background Data mining of electronic health records (EHRs) has a huge potential for
improving clinical decision support and to help healthcare deliver precision medicine …

Existing algorithms for aligning cross-lingual word vector spaces assume that vector spaces
are approximately isomorphic. As a result, they perform poorly or fail completely on non …

Cultural items (eg, songs, books, and movies) have an important impact in creating and
reinforcing stereotypes. But the actual nature of such items is often less transparent. Take …

Computer-based dreams content analysis relies on word frequencies within predefined
categories in order to identify different elements in text. As a complementary approach, we …

Pre-trained word embeddings encode general word semantics and lexical regularities of
natural language, and have proven useful across many NLP tasks, including word sense …

Recently, the use of word embedding models (WEM) has received ample attention in the
natural language processing community. These models can capture semantic information in …