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README.md
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## Dataset Description
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- **Repository:** [
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- **Paper:** [
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### Dataset Summary
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tv shows, popular people, sports teams etc.
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Test-BOUN is a Test set that includes 500 manually segmented hashtags. These are selected from tweets about movies, tv shows, popular people, sports teams etc.
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### Languages
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## Dataset Structure
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```
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{
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### Citation Information
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```
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@article{
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title={
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author={
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journal={
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number={5},
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pages={675--686},
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year={2018},
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publisher={Wiley Online Library}
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```
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## Dataset Description
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- **Repository:** [glushkovato/hashtag_segmentation](https://github.com/glushkovato/hashtag_segmentation/)
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- **Paper:** [Char-RNN and Active Learning for Hashtag Segmentation](https://arxiv.org/abs/1911.03270)
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### Dataset Summary
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Real hashtags collected from several pages about civil services on vk.com (a Russian social network) and then segmented manually.
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### Languages
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Russian
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## Dataset Structure
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```
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{
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"index": 0,
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"hashtag": "ЁлкаВЗазеркалье",
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"segmentation": "Ёлка В Зазеркалье"
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```
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### Citation Information
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```
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@article{glushkova2019char,
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title={Char-RNN and Active Learning for Hashtag Segmentation},
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author={Glushkova, Taisiya and Artemova, Ekaterina},
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journal={arXiv preprint arXiv:1911.03270},
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year={2019}
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}
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```
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