Datasets:
Languages:
English
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
machine-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - machine-generated | |
| languages: | |
| - en | |
| licenses: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| pretty_name: BOUN | |
| size_categories: | |
| - unknown | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - structure-prediction | |
| task_ids: | |
| - structure-prediction-other-word-segmentation | |
| # Dataset Card for BOUN | |
| ## Dataset Description | |
| - **Repository:** [ardax/hashtag-segmentor](https://github.com/ardax/hashtag-segmentor) | |
| - **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) | |
| ### Dataset Summary | |
| Dev-BOUN is a Development set that includes 500 manually segmented hashtags. These are selected from tweets about movies, | |
| tv shows, popular people, sports teams etc. | |
| 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. | |
| ### Languages | |
| English | |
| ## Dataset Structure | |
| ### Data Instances | |
| ``` | |
| { | |
| "index": 0, | |
| "hashtag": "tryingtosleep", | |
| "segmentation": "trying to sleep" | |
| } | |
| ``` | |
| ### Data Fields | |
| - `index`: a numerical index. | |
| - `hashtag`: the original hashtag. | |
| - `segmentation`: the gold segmentation for the hashtag. | |
| ### Citation Information | |
| ``` | |
| @article{celebi2018segmenting, | |
| title={Segmenting hashtags and analyzing their grammatical structure}, | |
| author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan}, | |
| journal={Journal of the Association for Information Science and Technology}, | |
| volume={69}, | |
| number={5}, | |
| pages={675--686}, | |
| year={2018}, | |
| publisher={Wiley Online Library} | |
| } | |
| ``` | |
| ### Contributions | |
| This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library. |