Results 81 to 90 of about 388,626 (336)
Advanced Materials, EarlyView.The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley +1 more source
A Meaning-oriented Approach to Semantic Data Modeling [PDF]
arXiv, 2016 Semantic information is often represented as the entities and the relationships among them with conventional semantic models. This approach is straightforward but is not suitable for many posteriori requests in semantic data modeling. In this paper, we propose a meaning-oriented approach to modeling semantic data and establish a graph-based semantic ...
arxiv
Advanced Optical Materials, EarlyView.Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley +1 more source
Advanced Science, EarlyView.This article introduces the Brim model, an interpretable multimodal fusion framework that integrates histopathology, genomics, and transcriptomics to enhance cancer prognosis prediction. Addressing real‐world data limitations, the model enables precise predictions even with incomplete molecular data.
Feng Gao +9 more
wiley +1 more source
Advanced Science, EarlyView.Advanced neoteleost fishbones, such as medaka, challenge bone adaptation strategies. While zebrafish bones contain osteocyte‐mediated porosity, medaka bones lack it, raising questions about alternative reinforcement mechanisms. Using advanced imaging, this study reveals higher residual compressive strains in medaka bone, suggesting an adaptation that ...
Andreia Silveira +7 more
wiley +1 more source
Information Extraction Using Distant Supervision and Semantic Similarities
Advances in Electrical and Computer Engineering, 2016 Information extraction is one of the main research tasks in natural language processing and text mining that extracts useful information from unstructured sentences. Information extraction techniques include named entity recognition, relation extraction,
PARK, Y., KANG, S., SEO, J.
doaj +1 more source
BMC Medical Informatics and Decision Making, 2018 Background In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, thereby limiting their interpretability.
Zhiwei Chen +3 more
doaj +1 more source
Lexical-Semantic Development in Bilingual Toddlers at 18 and 24 Months
Frontiers in Psychology, 2020 An important question in early bilingual first language acquisition concerns the development of lexical-semantic associations within and across two languages.
Stephanie De Anda, Margaret Friend
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On the Translation of Semantic Relations: an empirical study [PDF]
Revista Brasileira de Linguística Aplicada, 2002 In this article, the transfer of semantic relations between propositions is discussed based on a pilot study carried out for didactic purposes at the Copenhagen Business School. The relations studied were unmarked in the source text (ST) and the research aimed at investigating to what extent the translation of textual cohesion is the object of mental ...
openaire +4 more sources
Relating Semantics for Epistemic Logic
Logic and Logical Philosophy, 2021 The aim of this paper is to explore the advantages deriving from the application of relating semantics in epistemic logic. As a first step, I will discuss two versions of relating semantics and how they can be differently exploited for studying modal and epistemic operators.
openaire +3 more sources