AI正在发生 未来正在更新nerkor-cars-onpp-hubert
The underlying corpus, NerKor+CARS-OntoNotes++, was derived from NYTK-NerKor, a Hungarian gold standard named entity annotated corpus containing about 1 million tokens. It includes a small addition of 12k tokens of text (individual sentences) concerning motor vehicles (cars, buses, motorcycles) from the news archive of hvg.hu. While the annotation in NYTK-NerKor followed the CoNLL2002 labelling standard with just four NE categories (`PER`, `LOC`, `MISC`, `ORG`), this version of the corpus features over 30 entity types, including all entity types used in the [OntoNotes 5.0] English NER annotation. The new annotation elaborates on subtypes of the `LOC` and `MISC` entity types, and includes annotation for non-names like times and dates, quantities, languages and nationalities or religious or political groups. The annotation was elaborated with further entity subtypes not present in the Ontonotes 5 annotation (see below).
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The underlying corpus, NerKor+CARS-OntoNotes++, was derived from NYTK-NerKor, a Hungarian gold standard named entity annotated corpus containing about 1 million tokens. It includes a small addition of 12k tokens of text (individual sentences) concerning motor vehicles (cars, buses, motorcycles) from the news archive of hvg.hu. While the annotation in NYTK-NerKor followed the CoNLL2002 labelling standard with just four NE categories (`PER`, `LOC`, `MISC`, `ORG`), this version of the corpus features over 30 entity types, including all entity types used in the [OntoNotes 5.0] English NER annotation. The new annotation elaborates on subtypes of the `LOC` and `MISC` entity types, and includes annotation for non-names like times and dates, quantities, languages and nationalities or religious or political groups. The annotation was elaborated with further entity subtypes not present in the Ontonotes 5 annotation (see below).