Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Languages:
Turkish
Size:
10K - 100K
License:
Update README.md
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README.md
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license: cc-by-nc-sa-4.0
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---
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license: cc-by-nc-sa-4.0
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task_categories:
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- token-classification
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language:
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- tr
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tags:
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- named entity recognition
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- ner
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- atis
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- utterance
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- spoken query
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---
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The ATIS (Airline Travel Information System) Dataset includes spoken queries (i.e., utterances) annotated for the task of slot filling in conversational systems.
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This dataset, ATISNER, includes airline spoken queries translated from English to Turkish, customized for Named Entity Recognition.
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Train and test splits include 4,978 and 890 sentences, respectively.
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Translations are provided by the following study.
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Şahinuç, F., Yücesoy, V., & Koç, A. (2020). Intent Classification and Slot Filling for Turkish Dialogue Systems. In 2020 28th signal processing and communications applications conference (pp. 1–4).
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Github Repo: https://github.com/avaapm/TurkishNamedEntityRecognition/
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# If you would like to use any material in this repository, please cite the following paper:
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Oguzhan Ozcelik and Cagri Toraman. 2022. Named entity recognition in Turkish: A comparative study with detailed error analysis. Inf. Process. Manage. 59, 6 (Nov 2022). https://doi.org/10.1016/j.ipm.2022.103065
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