Results 51 to 60 of about 1,760,559 (295)
Relational prompt-based single-module single-step model for relational triple extraction
Journal of King Saud University: Computer and Information Sciences, 2023 The relational triple extraction is a fundamental and essential information extraction task. The existing approaches of relation triple extraction achieve considerable performance but still suffer from 1) treating the relation between entities as a ...
Zhi Zhang +3 more
doaj
An Extended Type-2 Fuzzy Relational Database Model for Aggregate and Grouping Operations
Malaysian Journal of Science and Advanced Technology, 2023 This paper introduces an extended type-2 fuzzy relational database model (ET-2FRDB) for aggregate and grouping operations that can represent and query uncertain and imprecise information in the real world applications.
Hoa Nguyen
doaj +1 more source
Dynamic infinite relational model for time-varying relational data analysis [PDF]
, 2017 We propose a new probabilistic model for analyzing dynamic evolutions of relational data, such as additions, deletions and split & merge, of relation clusters like communities in social networks. Our proposed model abstracts observed timevarying object-
Ishiguro, Katsuhiko +3 more
core
The relational model is injective for Multiplicative Exponential Linear Logic (without weakenings) [PDF]
, 2011 We show that for Multiplicative Exponential Linear Logic (without weakenings) the syntactical equivalence relation on proofs induced by cut-elimination coincides with the semantic equivalence relation on proofs induced by the multiset based relational ...
de Carvalho, Daniel +1 more
core +2 more sources
Rationale-Enhanced Language Models are Better Continual Relation Learners [PDF]
arXiv, 2023 Continual relation extraction (CRE) aims to solve the problem of catastrophic forgetting when learning a sequence of newly emerging relations. Recent CRE studies have found that catastrophic forgetting arises from the model's lack of robustness against future analogous relations.
arxiv
Advanced Engineering Materials, EarlyView.This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon +7 more
wiley +1 more source
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction [PDF]
arXiv, 2020 Relation ties, defined as the correlation and mutual exclusion between different relations, are critical for distant supervised relation extraction. Existing approaches model this property by greedily learning local dependencies. However, they are essentially limited by failing to capture the global topology structure of relation ties.
arxiv
Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation
Advanced Engineering Materials, EarlyView.An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch +2 more
wiley +1 more source
Men's Behaviour Change Program: Participants' and Facilitators' Perceptions
Australian and New Zealand Journal of Family Therapy, Volume 43, Issue 4, Page 412-422, December 2022., 2022 Men's behaviour change programs (MBCPs) are group programs for men using family violence. This preliminary evaluation examines participants' and facilitators' perceptions of a redeveloped MBCP. Participants reported significant improvements in their ability to manage stress, understand the impact of their use of violence, and apply skills to repair the
Amanda O'Connor +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi +3 more
wiley +1 more source