This content delves into concepts related to Semantic Web, RDF (Resource Description Framework), and formalisms of Trust Reasoning Representation. It covers topics such as RDF resource description, triple models, machine interpretation challenges, and the role of key figures like Timothy John Berner

0 views • 38 slides

Explore the world of computational linguistics through topics like pragmatics, formalisms, knowledge representation, state machines, neural models, semantics, and discourse analysis. Dive into the intricacies of language structures, meanings, and contextual inferences to unravel the complexities of

0 views • 64 slides

Investigate the nucleon and nuclei structure through inclusive electron scattering at 22 GeV, delving into formalisms and structure functions. Discussions on the Electron Ion Collider, nuclear PDFs, world data comparisons, and definitive proof of three-nucleon short-range correlations at Jefferson L

0 views • 21 slides

This content delves into graph-based knowledge representation in modelling, detailing concepts such as recipe-ingredient relationships, formalisms for generalizing graph representation, and conceptual graphs by John F. Sowa. It explores how different interpretations describe the association between

0 views • 19 slides

This research study delves into the realm of neutrino transport in holography, focusing on the interaction of neutrinos with dense QCD matter in the core. Motivations, formalisms, holographic set-up, and the holographic correspondence are explored using a toy model of quark matter in 4SYM and utiliz

0 views • 32 slides

This piece discusses the application of knowledge representation in addressing recurrent needs related to manipulating, querying, reasoning, and sharing information, particularly in the linguistic domain of Meaning-Text Theory. Maxime Lefrançois and Fabien Gandon explore formalisms, such as the the

0 views • 56 slides

This eighth-semester course in Computer Science & Engineering covers the fundamentals of Natural Language Processing (NLP) including basics, modeling techniques, syntactic and semantic parsing, information extraction, and machine translation. Prerequisites include knowledge of English grammar, theor

1 views • 16 slides