SELMA Latvian NER Dataset

SELMA Latvian NER Dataset

CLARIN Centre of Latvian language resources and tools

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

Item identifier: http://hdl.handle.net/20.500.12574/98

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

Date issued: 2022-03

Type: corpus, text

Size: 741 texts

Language(s): Latvian

Description: 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).

Publisher: AiLab IMCS UL

Subject(s): NER dataset

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

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CLARIN ACA

Name: SELMA-NER-LV.zip
Size: 1.02 MB
Format: application/zip
Description: 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