Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Languages:
Turkish
Size:
10K - 100K
License:
| license: cc-by-nc-sa-4.0 | |
| task_categories: | |
| - token-classification | |
| language: | |
| - tr | |
| tags: | |
| - named entity recognition | |
| - ner | |
| - atis | |
| - utterance | |
| - spoken query | |
| The ATIS (Airline Travel Information System) Dataset includes spoken queries (i.e., utterances) annotated for the task of slot filling in conversational systems. | |
| This dataset, ATISNER, includes airline spoken queries translated from English to Turkish, customized for Named Entity Recognition. | |
| Train and test splits include 4,978 and 890 sentences, respectively. | |
| Translations are provided by the following study. | |
| 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). | |
| Github Repo: https://github.com/avaapm/TurkishNamedEntityRecognition/ | |
| # If you would like to use any material in this repository, please cite the following paper: | |
| 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 |