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Entity linking by focusing DBpedia candidate entities [PDF]
Proceedings 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.
Alex Olieman +4 more
openaire +4 more sources
Learning Relatedness Measures for Entity Linking [PDF]
, 2013 Entity Linking is the task of detecting, in text documents, relevant mentions to entities of a given knowledge base. To this end, entity-linking algorithms use several signals and features extracted from the input text or from the knowl- edge base.
Lucchese, Claudio +15 more
core +1 more source
Dexter: an open source framework for entity linking [PDF]
, 2013 We introduce Dexter, an open source framework for entity linking. The entity linking task aims at identifying all the small text fragments in a document referring to an entity contained in a given knowledge base, e.g., Wikipedia.
Lucchese, Claudio +14 more
core +1 more source
Entity Linking with people entity on Wikipedia
CoRR, 2017 This paper introduces a new model that uses named entity recognition, coreference resolution, and entity linking techniques, to approach the task of linking people entities on Wikipedia people pages to their corresponding Wikipedia pages if applicable. Our task is different from general and traditional entity linking because we are working in a limited
Weiqian Yan, Kanchan Khurad
openaire +2 more sources
SpEL: Structured Prediction for Entity Linking [PDF]
, 2023 Entity linking is a prominent thread of research focused on structured data creation by linking spans of text to an ontology or knowledge source. We revisit the use of structured prediction for entity linking which classifies each individual input token ...
Shavarani, Hassan S., Sarkar, Anoop
core +1 more source
Combining Word and Entity Embeddings for Entity Linking [PDF]
, 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 +3 more sources
Twitter anticipates bursts of requests for Wikipedia articles [PDF]
, 2013 Most of the tweets that users exchange on Twitter make implicit mentions of named-entities, which in turn can be mapped to corresponding Wikipedia articles using proper Entity Linking (EL) techniques. Some of those become trending entities on Twitter due
Lucchese, Claudio +12 more
core +1 more source
Entity Linking on Chinese Microblogs via Deep Neural Network
IEEE Access, 2018 Entity linking is the task of mapping mentions in text to target knowledge base, which is crucial to knowledge-base-related tasks such as knowledge fusion and knowledge base construction.
Weixin Zeng, Jiuyang Tang, Xiang Zhao
doaj +1 more source
Entity-Linking via Graph-Distance Minimization [PDF]
Electronic 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
Entity Linking in the ParlaMint Corpus [PDF]
, 2022 The ParlaMint corpus is a multilingual corpus consisting of the parliamentary debates of seventeen European countries over a span of roughly five years.
Kamps, J.; id_orcid +2 more
core +6 more sources