turkish_ner / README.md
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metadata
annotations_creators:
  - machine-generated
language_creators:
  - expert-generated
languages:
  - tr
licenses:
  - cc-by-4-0
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - structure-prediction
task_ids:
  - named-entity-recognition

Dataset Card for turkish_ner

Table of Contents

Dataset Description

Dataset Summary

Automatically annotated Turkish corpus for named entity recognition and text categorization using large-scale gazetteers. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under 25 different domains.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

Turkish

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

There's only the training set.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

H. Bahadir Sahin, Caglar Tirkaz, Eray Yildiz, Mustafa Tolga Eren and Omer Ozan Sonmez

Licensing Information

Creative Commons Attribution 4.0 International

Citation Information

@InProceedings@article{DBLP:journals/corr/SahinTYES17, author = {H. Bahadir Sahin and Caglar Tirkaz and Eray Yildiz and Mustafa Tolga Eren and Omer Ozan Sonmez}, title = {Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers}, journal = {CoRR}, volume = {abs/1702.02363}, year = {2017}, url = {http://arxiv.org/abs/1702.02363}, archivePrefix = {arXiv}, eprint = {1702.02363}, timestamp = {Mon, 13 Aug 2018 16:46:36 +0200}, biburl = {https://dblp.org/rec/journals/corr/SahinTYES17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }

Contributions

Thanks to @merveenoyan for adding this dataset.