SELMA Latvian NER Dataset

SELMA Latvian NER Dataset

CLARIN Centre of Latvian language resources and tools

Autori: Rābante-Buša, Guna ; Grūzītis, Normunds ; Bārzdiņš, Guntis and Mendes, Afonso

Vienuma identifikators: http://hdl.handle.net/20.500.12574/98

Projekta URL: https://selma-project.eu

Izdošanas datums: 2022-03

Tips: corpus, text

Lielums: 741 texts

Valoda(-s): Latvian

Apraksts: A dataset of hierarchically annotated named entities in Latvian news articles (provided by the Latvian Information Agency LETA) for the development and evaluation of transition-based parsers for named entity recognition (NER).

Izdevējs: AiLab IMCS UL

Tēma(-s): NER dataset

Kolekcija (s): Language resources and tools of AiLab IMCS UL

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Academic Use

un ir licencēts saskaņā ar:
CLARIN ACA

Vārds: SELMA-NER-LV.zip
Lielums: 1.02 MB
Formāts: application/zip
Apraksts: Contains train, dev and test files in a custom data format. For each sentence, every token is annotated with a shift-reduce operation: TRANSITION, SHIFT, REDUCE, or OUT.
MD5: c776d7ccadab859058ac5bcc84ccd00d

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