Concept information
Terme préférentiel
named entity recognition
Définition
- A subtask of information extraction that seeks to locate and classify named entities in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. (Loterre)
Concept générique
Synonyme(s)
- entity chunking
- entity extraction
- entity identification
- entity recognition
- named entities recognition
- named entity extraction
- NER
Contexte(s) définitoire(s)
- Named Entity Recognition (NER) (also known as Entity Recognition Entity Chunking and Entity Extraction) is a subtask of Information Extraction that aims to locate and classify named entities in text into predefined categories such as people organizations locations etc. (Zhang, Wang & Zhang, 2023)
Exemple
- It applies filtering techniques based on intuitive rules as well as the expected answer classes with named-entities recognition defined by regular expressions and a fixed list for some special cases. (Pizzato & Mollá, 2008)
- Named Entity Extraction is a mature task in the NLP field that has yielded numerous services gaining popularity in the Semantic Web community for extracting knowledge from web documents. (Rizzo & Troncy, 2012)
- Named Entity Recognition (NER) is one of the most fundamental tasks in natural language processing. (Zhang, Qiao, Zhao, Tao & Yang, 2023)
- Named entity recognition (NER) locates units of information such as names of organizations persons and locations and numeric expressions from unstructured text. (Kayal, Afzal, Tsatsaronis, Katrenko, Coupet, Doornenbal & Gregory, 2017)
- We introduce a named-entity extraction method to recognize named entities from embedded images in articles eliminating the overhead in manually creating a list of named entities that will appear in the articles. (Zhang, Gu & Plummer, 2023)
Traductions
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français
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NER
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REN
URI
http://data.loterre.fr/ark:/67375/8LP-C3FMJCQM-G
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