Results 51 to 60 of about 51,918 (265)
FGSI: distant supervision for relation extraction method based on fine-grained semantic information
Scientific Reports, 2023 Relation extraction is one of the important steps in building a knowledge graph. Its main objective is to extract semantic relationships from identified entity pairs in sentences, playing a crucial role in semantic understanding and knowledge graph ...
Chenghong Sun +5 more
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Problematic Internet Use in Frontotemporal Dementia: A Case Series
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso +9 more
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The Analysis of Synonym Relation Meaning in Kerinci Language: A Semantic Study
Journal of Languages and Language TeachingSynonyms are lexical variants that refer to the same meaning in expressing something in word form. In other cases, synonyms are lexical aspects that support cohesion in discourse which functions as a link between one lingual unit and another.
Yundi Fitrah, Rengki Afria
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Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
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A Prototype Network Enhanced Relation Semantic Representation for Few-shot Relation Extraction
Human-Centric Intelligent Systems, 2022 Few-shot relation extraction is one of the current research focuses. The key to this research is to fully extract the relation semantic information through very little training data.
Haitao He +4 more
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Image Semantic Relation Generation
CoRR, 2022 Scene graphs provide structured semantic understanding beyond images. For downstream tasks, such as image retrieval, visual question answering, visual relationship detection, and even autonomous vehicle technology, scene graphs can not only distil complex image information but also correct the bias of visual models using semantic-level relations, which
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Semantic relations in information science [PDF]
Annual Review of Information Science and Technology, 2006 Accepted ...
Na, Jin-Cheon, Khoo, Christopher S. G.
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
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ANALISIS MEDAN MAKNA ‘SENI BELA DIRI KHAS JEPANG’ DALAM HURUF KANJI BU (武)
Izumi, 2017 (Title: Meaning Field Analysis Of 'Japan's Martial Arts' In Kanji’s Letter Of Bu (武) )This research analyze the kind of words exist in the semantic field of the lexem of kanji BU (武) in Japanese, and how the lexical relation and the semantic feature were
Irwan Irwan, Mulyadi Mulyadi
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Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
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