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Entity linking for tweets [PDF]
Encyclopedia with Semantic Computing and Robotic Intelligence, 2017 Named Entity Linking (NEL) is the task of semantically annotating entity mentions in a portion of text with links to a knowledge base. The automatic annotation, which requires the recognition and disambiguation of the entity mention, usually exploits contextual clues like the context of usage and the coherence with respect to other entities. In Twitter,
Basile, Pierpaolo, Caputo, Annalina
openaire +6 more sources
, 2017 Entity linking may be of help to quickly supplement a reader with further information about entities within a text by providing links to a knowledge base containing more information about each entity, and may thus potentially enhance the reading experience.
Diana Maynard +2 more
core +5 more sources
SynEL: A synthetic benchmark for entity linking. [PDF]
PLoS ONELarge language models (LLMs) offer significant potential for constructing commonsense knowledge graphs from text, demonstrating adaptability across diverse domains.
Ilia Karpov +9 more
doaj +2 more sources
On the Temporality of Priors in Entity Linking [PDF]
Advances in Information Retrieval, 2020 Entity linking is a fundamental task in natural language processing which deals with the lexical ambiguity in texts. An important component in entity linking approaches is the mention-to-entity prior probability. Even though there is a large number of works in entity linking, the existing approaches do not explicitly consider the time aspect ...
Stoffalette João R.
europepmc +5 more sources
Word Sense Disambiguation with Wikipedia Entities: A Survey of Entity Linking Approaches [PDF]
EntropyThe inference of unstructured text semantics is a crucial preprocessing task for NLP and AI applications. Word sense disambiguation and entity linking tasks resolve ambiguous terms within unstructured text corpora to senses from a predefined knowledge ...
Michael Angelos Simos, Christos Makris
doaj +2 more sources
Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base
IEEE Access, 2018 Entity linking is a task to extract query mentions in documents, and then link them to their corresponding entities in a knowledge base. It can improve the performances of knowledge network construction, knowledge fusion, information retrieval, natural ...
Xuegang Hu, Ying He, Gongqing Wu
exaly +3 more sources
An overview of biomedical entity linking throughout the years [PDF]
Journal of Biomedical Informatics, 2023 Evan French, Bridget McInnes
exaly +2 more sources
Evaluating Entity Linking with Wikipedia
Artificial Intelligence, 2013 AbstractNamed Entity Linking (nel) grounds entity mentions to their corresponding node in a Knowledge Base (kb). Recently, a number of systems have been proposed for linking entity mentions in text to Wikipedia pages. Such systems typically search for candidate entities and then disambiguate them, returning either the best candidate or nil.
Joel Nothman
exaly +2 more sources
Entity Enabled Relation Linking [PDF]
, 2019 Relation linking is an important problem for knowledge graph-based Question Answering. Given a natural language question and a knowledge graph, the task is to identify relevant relations from the given knowledge graph. Since existing techniques for entity extraction and linking are more stable compared to relation linking, our idea is to exploit ...
Jeff Z. Pan +5 more
core +5 more sources
Named entity recognition: challenges in document annotation, gazetteer construction and disambiguation [PDF]
, 2013 The ' information explosion' has generated unprecedented amount of published information that is still growing at an astonishing rate. As the amount of information grows, the problem of managing the information becomes challenging.
Zhang, Ziqi
core +6 more sources