Results 31 to 40 of about 373,459 (274)

Candidate Set Expansion for Entity and Relation Linking Based on Mutual Entity–Relation Interaction

open access: yesBig Data and Cognitive Computing, 2023
Entity and relation linking are the core tasks in knowledge base question answering (KBQA). They connect natural language questions with triples in the knowledge base.
Botao Zhang   +4 more
doaj   +1 more source

Entity Linking Based on Sentence Representation

open access: yesComplexity, 2021
Entity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most existing methods failed to link when a mention appears multiple times in a document, since the conflict of its contexts in different ...
Bingjing Jia   +3 more
doaj   +1 more source

Entity-Linking via Graph-Distance Minimization [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2014
Entity-linking is a natural-language–processing task that consists in identifying the entities mentioned in a piece of text, linking each to an appropriate item in some knowledge base; when the knowledge base is Wikipedia, the problem comes to be known ...
Roi Blanco, Paolo Boldi, Andrea Marino
doaj   +1 more source

Combining Word and Entity Embeddings for Entity Linking [PDF]

open access: yes, 2017
The correct identification of the link between an entity mention in a text and a known entity in a large knowledge base is important in information retrieval or information extraction. The general approach for this task is to generate, for a given mention, a set of candidate entities from the base and, in a second step, determine which is the best one.
Moreno, Jose G.   +7 more
openaire   +2 more sources

Entity linking by focusing DBpedia candidate entities [PDF]

open access: yesProceedings of the first international workshop on Entity recognition & disambiguation - ERD '14, 2014
Recently, Entity Linking and Retrieval turned out to be one of the most interesting tasks in Information Extraction due to its various applications. Entity Linking (EL) is the task of detecting mentioned entities in a text and linking them to the corresponding entries of a Knowledge Base.
Olieman, A.   +4 more
openaire   +3 more sources

Enhancement of Question Answering System Accuracy via Transfer Learning and BERT

open access: yesApplied Sciences, 2022
Entity linking and predicate matching are two core tasks in the Chinese Knowledge Base Question Answering (CKBQA). Compared with the English entity linking task, the Chinese entity linking is extremely complicated, making accurate Chinese entity linking ...
Kai Duan   +5 more
doaj   +1 more source

Entity Linking with Distributional Semantics [PDF]

open access: yes, 2016
[Abstract] Entity Linking (EL) consists in linking name mentions in a given text with their referring entities in external knowledge bases such as DBpedia/Wikipedia. In this paper, we propose an EL approach whose main contribution is to make use of a knowledge base built by means of distributional similarity.
Gamallo, Pablo, García, Marcos
openaire   +2 more sources

MELArt: A Multimodal Entity Linking Dataset for Art [PDF]

open access: yesTransactions on Graph Data and Knowledge
Traditional named entity linking (NEL) tools have largely employed a general-domain approach, spanning across various entity types such as persons, organizations, locations, and events in a multitude of contexts.
Sierra-Múnera, Alejandro   +3 more
doaj   +1 more source

Entity Query Feature Expansion Using Knowledge Base Links [PDF]

open access: yes, 2014
Recent advances in automatic entity linking and knowledge base construction have resulted in entity annotations for document and query collections. For example, annotations of entities from large general purpose knowledge bases, such as Freebase and ...
Allan, James   +2 more
core   +2 more sources

LGCFPEL: local-global correlation fusion for probabilistic collective entity linking [PDF]

open access: yesPeerJ Computer Science
Entity linking, as a key technology for heterogeneous information networks modeling and semantic knowledge retrieval, has attracted significant attention. However, current entity linking methods suffer from three main limitations: (1) They generally rely
Jie Liu   +5 more
doaj   +2 more sources

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