Pungulescu, C. (2025) Semantic Diversification in Equity Portfolios. Theoretical Economics Letters, 15, 187-198. doi: 10.4236 ...

This study examined lexical-semantic processing in children with Developmental Language Disorder (DLD) during visually situated comprehension of real-time spoken words. Existing evidence suggests that ...

"Using insights and methods from how babies learn language allowed us to discover previously undetected structure in whale ...

There is broad agreement that context-based predictions facilitate lexical-semantic processing. A robust index of semantic prediction during language comprehension is an evoked response, known as the ...

The N400 response is one of the best-studied ERP components associated with language processing. Manipulations such as semantic priming ('coffee' → 'tea') and contextual fit ('I like my coffee ...

Abstract: Through experimental endeavours, we explore the intersection of Semantic Communication (SemCom) and Natural Language Processing (NLP) to address gaps in SemCom models, focusing on reducing ...

Balatka, Managing Director of Semantic Visions, brings nearly two decades of experience in consulting and AI leadership to ...

This article investigates semantic data modeling tools alongside their relationship to enterprise data management services to ...

Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My August 2024 column, “The Shift from Syntactic to ...

AI-generated legal and regulatory content should be backed by structured legal databases to avoid misinformation and legal ...

For all the world’s linguistic diversity, human languages still obey some universal patterns. These run even deeper than ...

The animals’ complex songs share structural patterns with human language that may make them easier for whales to learn, a new ...