Overview of the triple scoring task at the wsdm cup 2017
This paper provides an overview of the triple scoring task at the WSDM Cup 2017, including
a description of the task and the dataset, an overview of the participating teams and their …
a description of the task and the dataset, an overview of the participating teams and their …
Toward veracity assessment in RDF knowledge bases: an exploratory analysis
Among different characteristics of knowledge bases, data quality is one of the most relevant
to maximize the benefits of the provided information. Knowledge base quality assessment …
to maximize the benefits of the provided information. Knowledge base quality assessment …
A relation extraction method based on entity type embedding and recurrent piecewise residual networks
Y Wang, H Zhao, L Tu, J Dan, L Liu - … Congress, Held as Part of the …, 2019 - Springer
Relation extraction is an important while challenging task in information extraction. We find
that existing solutions can hardly extract correct relation when the sentence is long and …
that existing solutions can hardly extract correct relation when the sentence is long and …
Type-Embodied Representation Learning for Knowledge Graph Embedding (タイプを活用した知識グラフの埋め込み表現の学習の研究)
モハマドモスタフィザールラーマン - ir.soken.ac.jp
Abstract A Knowledge Graph (KG) is a knowledge base containing facts about real world
entities represented as a graph. We have witnessed rapid growth in knowledge graph …
entities represented as a graph. We have witnessed rapid growth in knowledge graph …
Knowledge Base Refinement With Internal and External Data
H **n - 2024 - search.proquest.com
KNOWLEDGE BASE REFINEMENT WITH INTERNAL AND EXTERNAL DATA Page 1
KNOWLEDGE BASE REFINEMENT WITH INTERNAL AND EXTERNAL DATA by HAO XIN A …
KNOWLEDGE BASE REFINEMENT WITH INTERNAL AND EXTERNAL DATA by HAO XIN A …
Casie: Canonicalize and informative selection of the openie system
Knowledge extraction has become a hot topic recently with the increasing number of
applications needed for large-scale knowledge bases (KBs), such as semantic search and …
applications needed for large-scale knowledge bases (KBs), such as semantic search and …
[PDF][PDF] Simulating Human Associations with Linked Data
J Hees - 2018 - kluedo.ub.rptu.de
In recent years, enormous progress has been made in the field of Artificial Intelligence (AI).
Especially the introduction of Deep Learning and end-to-end learning, the availability of …
Especially the introduction of Deep Learning and end-to-end learning, the availability of …
Towards a unified supervised approach for ranking triples of type-like relations
Abstract Knowledge bases play a crucial role in modern search engines and provide users
with information about entities. A knowledge base may contain many facts (ie, RDF triples) …
with information about entities. A knowledge base may contain many facts (ie, RDF triples) …
[PDF][PDF] Type-Embodied Representation Learning for Knowledge Graph Embedding
MM zur Rahman - 2020 - ir.soken.ac.jp
Abstract A Knowledge Graph (KG) is a knowledge base containing facts about real world
entities represented as a graph. We have witnessed rapid growth in knowledge graph …
entities represented as a graph. We have witnessed rapid growth in knowledge graph …
Automating the Fact-Checking Task: Challenges and Directions
D Nascimento Esteves da Silva - 2019 - bonndoc.ulb.uni-bonn.de
In recent years, misinformation has caused widespread alarm and has become a global
concern, given the negative impact placed on society, democratic institutions and even …
concern, given the negative impact placed on society, democratic institutions and even …