Unsupervised Relation Extraction for E-Learning Applications [PDF]
, 2011 A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of PhilosophyIn this modern era many educational institutes and business organisations are adopting the e-Learning approach as it ...
Naveed Afzal, Afzal, Naveed
core
Integration of link and semantic relations for information recommendation
, 2016 Information services on the Internet are being used as an important tool to facilitate discovery of the information that is of user interests. Many approaches have been proposed to discover the information on the Internet, while the search engines are ...
Wang, P. +4 more
core
Semantic Relations in a Categorical Verbal Fluency Test: An Exploratory Investigation in Mild Cognitive Impairment. [PDF]
Front Psychol, 2019 Quaranta D +5 more
europepmc +1 more source
FBK-IRST: Kernel Methods for Semantic Relation Extraction
, 2007 We present an approach for semantic relation extraction between nominals that combines shallow and deep syntactic processing and semantic information using kernel methods.
Alberto Lavelli +7 more
core
Language-minority children's sensitivity to the semantic relations between words. [PDF]
J Exp Child Psychol, 2018 Goodrich JM, Lonigan CJ.
europepmc +1 more source
An Algorithm for Semantic Coordination
, 2003 The problem of finding an agreement on the meaning of heterogeneous semantic models is one of the key issues in the development of the Semantic Web. In this paper, we propose (i) a general algorithm which implements a new approach, called CTXMATCH, for ...
Serafini, Luciano +3 more
core
Doctor, Teacher, and Stethoscope: Neural Representation of Different Types of Semantic Relations. [PDF]
J Neurosci, 2018 Xu Y +5 more
europepmc +1 more source
FBK_NK: a WordNet-based System for Multi-Way Classification of Semantic Relations
, 2010 We describe a WordNet-based system for the extraction of semantic relations between pairs of nominals appearing in English texts. The system adopts a lightweight approach, based on training a Bayesian Network classifier using large sets of binary ...
Negri, Matteo, Kouylekov, Milen Ognianov
core
Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. [PDF]
BMC Med Inform Decis Mak, 2018 Chen Z, He Z, Liu X, Bian J.
europepmc +1 more source