Hiure: Hierarchical exemplar contrastive learning for unsupervised relation extraction
Unsupervised relation extraction aims to extract the relationship between entities from
natural language sentences without prior information on relational scope or distribution …
natural language sentences without prior information on relational scope or distribution …
Computing inter-document similarity with context semantic analysis
We propose a novel knowledge-based technique for inter-document similarity computation,
called Context Semantic Analysis (CSA). Several specialized approaches built on top of …
called Context Semantic Analysis (CSA). Several specialized approaches built on top of …
Building a morpho-semantic knowledge graph for Arabic information retrieval
In this paper, we propose to build a morpho-semantic knowledge graph from Arabic
vocalized corpora. Our work focuses on classical Arabic as it has not been deeply …
vocalized corpora. Our work focuses on classical Arabic as it has not been deeply …
Revisiting unsupervised relation extraction
Unsupervised relation extraction (URE) extracts relations between named entities from raw
text without manually-labelled data and existing knowledge bases (KBs). URE methods can …
text without manually-labelled data and existing knowledge bases (KBs). URE methods can …
YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …
Frame-based ontology population with PIKES
F Corcoglioniti, M Rospocher… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We present an approach for ontology population from natural language English texts that
extracts RDF triples according to FrameBase, a Semantic Web ontology derived from …
extracts RDF triples according to FrameBase, a Semantic Web ontology derived from …
An asymmetric knowledge representation learning in manifold space
The knowledge graph is constructed to acquire a large amount of structured knowledge that
can be read by computers. To effectively complete the knowledge graph, embedding …
can be read by computers. To effectively complete the knowledge graph, embedding …
Sistemas de recuperação da informação eo conceito de relevância nos mecanismos de busca: semântica e significação
SD Monteiro, RPM Fernandes… - … revista eletrônica de …, 2017 - periodicos.ufsc.br
As concepções dos Sistemas de Recuperação da Informação são retomadas para
contextualizar tanto os atuais mecanismos de busca, considerados Sistemas Digitais ou de …
contextualizar tanto os atuais mecanismos de busca, considerados Sistemas Digitais ou de …
Effective few-shot named entity linking by meta-learning
Entity linking aims to link ambiguous mentions to their corresponding entities in a knowledge
base, which is significant and fundamental for various downstream applications, eg …
base, which is significant and fundamental for various downstream applications, eg …
Comprehensive Review on Semantic Information Retrieval and Ontology Engineering
Situation awareness is a crucial cognitive skill that enables individuals to perceive,
comprehend, and project the current state of their environment accurately. It involves being …
comprehend, and project the current state of their environment accurately. It involves being …