mirror of https://github.com/explosion/spaCy.git
110 lines
2.7 KiB
Plaintext
110 lines
2.7 KiB
Plaintext
//- 💫 DOCS > API > ANNOTATION > NAMED ENTITIES
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p
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| Models trained on the
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| #[+a("https://catalog.ldc.upenn.edu/ldc2013t19") OntoNotes 5] corpus
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| support the following entity types:
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+table(["Type", "Description"])
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+row
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+cell #[code PERSON]
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+cell People, including fictional.
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+row
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+cell #[code NORP]
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+cell Nationalities or religious or political groups.
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+row
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+cell #[code FACILITY]
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+cell Buildings, airports, highways, bridges, etc.
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+row
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+cell #[code ORG]
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+cell Companies, agencies, institutions, etc.
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+row
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+cell #[code GPE]
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+cell Countries, cities, states.
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+row
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+cell #[code LOC]
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+cell Non-GPE locations, mountain ranges, bodies of water.
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+row
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+cell #[code PRODUCT]
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+cell Objects, vehicles, foods, etc. (Not services.)
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+row
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+cell #[code EVENT]
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+cell Named hurricanes, battles, wars, sports events, etc.
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+row
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+cell #[code WORK_OF_ART]
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+cell Titles of books, songs, etc.
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+row
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+cell #[code LAW]
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+cell Named documents made into laws.
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+row
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+cell #[code LANGUAGE]
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+cell Any named language.
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+row
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+cell #[code DATE]
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+cell Absolute or relative dates or periods.
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+row
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+cell #[code TIME]
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+cell Times smaller than a day.
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+row
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+cell #[code PERCENT]
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+cell Percentage, including "%".
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+row
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+cell #[code MONEY]
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+cell Monetary values, including unit.
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+row
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+cell #[code QUANTITY]
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+cell Measurements, as of weight or distance.
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+row
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+cell #[code ORDINAL]
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+cell "first", "second", etc.
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+row
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+cell #[code CARDINAL]
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+cell Numerals that do not fall under another type.
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+h(4, "ner-wikipedia-scheme") Wikipedia scheme
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p
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| Models trained on Wikipedia corpus
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| (#[+a("http://www.sciencedirect.com/science/article/pii/S0004370212000276") Nothman et al., 2013])
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| use a less fine-grained NER annotation scheme and recognise the
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| following entities:
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+table(["Type", "Description"])
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+row
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+cell #[code PER]
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+cell Named person or family.
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+row
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+cell #[code LOC]
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+cell
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| Name of politically or geographically defined location (cities,
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| provinces, countries, international regions, bodies of water,
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| mountains).
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+row
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+cell #[code ORG]
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+cell Named corporate, governmental, or other organizational entity.
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+row
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+cell #[code MISC]
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+cell
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| Miscellaneous entities, e.g. events, nationalities, products or
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| works of art.
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