Results 61 to 70 of about 6,753,811 (352)

Knowledge representation with T

Artificial Intelligence Research, 2018
The universal representation language T proposed in the article is the set of linguistic items employed in the manner of a natural language with the purpose of information exchange between various communicators. The language is not confined to any particular representation domain, implementation, communicator or discourse type.
openaire   +3 more sources

Conceptual representations of perceptual knowledge [PDF]

Cognitive Neuropsychology, 2012
Many neuroimaging studies of semantic memory have argued that knowledge of an object's perceptual properties are represented in a modality-specific manner. These studies often base their argument on finding activation in the left-hemisphere fusiform gyrus-a region assumed to be involved in perceptual processing-when the participant is verifying verbal ...
Smith, E, Myers, N, Sethi, U, Pantazatos, S, Yanagihara, T, Hirsch, J   +5 more
openaire   +3 more sources

Modeling Relation Paths for Representation Learning of Knowledge Bases [PDF]

Conference on Empirical Methods in Natural Language Processing, 2015
Representation learning of knowledge bases aims to embed both entities and relations into a low-dimensional space. Most existing methods only consider direct relations in representation learning.
Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, S. Rao, Song Liu   +5 more
semanticscholar   +1 more source

Diphthamide synthesis is linked to the eEF2‐client chaperone machinery

FEBS Letters, EarlyView.
The diphthamide modification of eukaryotic translation elongation factor 2 (eEF2) is important for accurate protein synthesis. We addressed the potential coordination of de novo eEF2 synthesis with simultaneous or subsequent diphthamide modification. Our work reveals that the co‐chaperones Hgh1 and Cpr7, which are known to support folding of nascent ...
Lars Kaduhr, Klaus Mayer, Raffael Schaffrath, Johannes Buchner, Ulrich Brinkmann   +4 more
wiley   +1 more source

SUKE: Embedding Model for Prediction in Uncertain Knowledge Graph

IEEE Access, 2021
Graph embedding models are widely used in knowledge graph completion (KGC) task. However, most models are based on the assumption that knowledge is completely certain, and this is inconsistent with real-world situations.
Jingbin Wang, Kuan Nie, Xinyuan Chen, Jing Lei   +3 more
doaj   +1 more source

CoLAKE: Contextualized Language and Knowledge Embedding [PDF]

arXiv, 2020
With the emerging branch of incorporating factual knowledge into pre-trained language models such as BERT, most existing models consider shallow, static, and separately pre-trained entity embeddings, which limits the performance gains of these models.
arxiv  

Functional variation among LPMOs revealed by the inhibitory effects of cyanide and buffer ions

FEBS Letters, EarlyView.
This study addresses the inhibition of lytic polysaccharide monooxygenases (LPMOs) by cyanide and explains how and why the magnitude of observed inhibitory effects depends on the way LPMO reactions are setup and on the type of LPMO. Enzymes known as lytic polysaccharide monooxygenases (LPMOs) are mono‐copper polysaccharide‐degrading peroxygenases that ...
Ole Golten, Lorenz Schwaiger, Zarah Forsberg, Kelsi R. Hall, Anton A. Stepnov, Tom Z. Emrich‐Mills, Iván Ayuso‐Fernández, Morten Sørlie, Roland Ludwig, Åsmund Kjendseth Røhr, Vincent G. H. Eijsink   +10 more
wiley   +1 more source

Cerebral cortex classification by conditional random fields applied to intraoperative thermal imaging

Current Directions in Biomedical Engineering, 2016
Intraoperative thermal neuroimaging is a novel intraoperative imaging technique for the characterization of perfusion disorders, neural activity and other pathological changes of the brain.
Hoffmann Nico, Koch Edmund, Petersohn Uwe, Kirsch Matthias, Steiner Gerald   +4 more
doaj   +1 more source

The multiple roles of the NlpC_P60 peptidase family in mycobacteria – an underexplored target for antimicrobial drug discovery

FEBS Letters, EarlyView.
The NlpC_P60 superfamily of peptidases is recognised by its key role in bacterial cell wall homeostasis. Recently, studies have also described the involvement of NlpC_P60‐like enzymes in bacterial competitive mechanisms and pathogenesis across several lineages.
Catharina dos Santos Silva, Marcio Vinicius Bertacine Dias   +1 more
wiley   +1 more source

Knowledge-aware Method for Confusing Charge Prediction [PDF]

arXiv, 2020
Automatic charge prediction task aims to determine the final charges based on fact descriptions of criminal cases, which is a vital application of legal assistant systems. Conventional works usually depend on fact descriptions to predict charges while ignoring the legal schematic knowledge, which makes it difficult to distinguish confusing charges.
arxiv