Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces [PDF]
ACM Computing Surveys, 2022 Knowledge graph embedding (KGE) is an increasingly popular technique that aims to represent entities and relations of knowledge graphs into low-dimensional semantic spaces for a wide spectrum of applications such as link prediction, knowledge reasoning ...
Jiahang Cao +3 more
semanticscholar +1 more source
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To better comprehend long complicated sentences and obtain accurate aspect-specific information, linguistic and commonsense knowledge are generally required in this task.
Qihuang Zhong +5 more
semanticscholar +1 more source
Towards a possibility-theoretic approach to uncertainty in medical data interpretation for text generation [PDF]
, 2009 Many real-world applications that reason about events obtained from raw data must deal with the problem of temporal uncertainty, which arises due to error or inaccuracy in data.
Gatt, Albert +2 more
core +1 more source
Object knowledge representation in the human visual cortex requires a connection with the language system. [PDF]
PLoS BiolLiu B +8 more
europepmc +2 more sources
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models
Findings, 2020 Conventional knowledge graph embedding (KGE) often suffers from limited knowledge representation, leading to performance degradation especially on the low-resource problem.
Zhiyuan Zhang +5 more
semanticscholar +1 more source
A Systematic Review of Current Strategies and Methods for BIM Implementation in the Academic Field
Applied Sciences, 2021 Since the international governmental institutions required and/or recommended (according to the regulations of each country and continent) all public works to be certified in the BIM (Building Information Modeling) methodology, public and private ...
Alia Besné +6 more
doaj +1 more source
Representation of probabilistic scientific knowledge [PDF]
, 2013 This article is available through the Brunel Open Access Publishing Fund. Copyright © 2013 Soldatova et al; licensee BioMed Central Ltd.The theory of probability is widely used in biomedical research for data analysis and modelling.
De Grave, K +3 more
core +1 more source
Triplet Loss Network for Unsupervised Domain Adaptation
Algorithms, 2019 Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap between different domains by transferring and re-using the knowledge obtained in the source domain to the target domain.
Imad Eddine Ibrahim Bekkouch +4 more
doaj +1 more source
Evaluation of Knowledge Credibility Based on Knowledge Representation Learning [PDF]
Jisuanji gongcheng, 2021 The developing automated construction technology and the growing amount of information have introduced noises and conflicts into knowledge graph.For this reason,the evaluation of knowledge credibility is required to better support the application of ...
ZHANG Xiaoming, SUN Weiya, WANG Huiyong
doaj +1 more source
Knowledge representation and evaluation an ontology-based knowledge management approach [PDF]
, 2008 Competition between Higher Education Institutions is increasing at an alarming rate, while changes of the surrounding environment and demands of labour market are frequent and substantial.
Vas, Réka
core +1 more source