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
 Acknowledgement

European Commission

Project code: 957017

Project name: SELMA – Stream Learning for Multilingual Knowledge Transfer

 Subject(s)
NER dataset
 Collection(s)
Language resources and tools of AiLab IMCS UL
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 Files in this item

This item is
Academic Use
and licensed under:
CLARIN ACA
Noncommercial
Icon
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
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Activities of CLARIN Latvia are supported by project of the European Regional Development Fund Nr. 1.1.1.5/18/I/016 University of Latvia and institutes in the European Research Area - Excellency, activity, mobility, capacity.

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