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  ## Dataset Description
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- - **Repository:** [ardax/hashtag-segmentor](https://github.com/ardax/hashtag-segmentor)
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- - **Paper:** [Segmenting Hashtags and Analyzing Their Grammatical Structure](https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/asi.23989?author_access_token=qbKcE1jrre5nbv_Tn9csbU4keas67K9QMdWULTWMo8NOtY2aA39ck2w5Sm4ePQ1MZhbjCdEuaRlPEw2Kd12jzvwhwoWP0fdroZAwWsmXHPXxryDk_oBCup1i9_VDNIpU)
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  ### Dataset Summary
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- Dev-BOUN is a Development set that includes 500 manually segmented hashtags. These are selected from tweets about movies,
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- tv shows, popular people, sports teams etc.
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-
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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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- English
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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": "tryingtosleep",
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- "segmentation": "trying to sleep"
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  }
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  ```
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  ### Citation Information
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  ```
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- @article{celebi2018segmenting,
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- title={Segmenting hashtags and analyzing their grammatical structure},
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- author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
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- journal={Journal of the Association for Information Science and Technology},
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- volume={69},
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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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  ```
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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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  ```
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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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