metadata

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
Paper: Segmenting hashtags using automatically created training data

Dataset Summary

Automatically segmented 803K SNAP Twitter Data Set hashtags with the heuristic described in the paper "Segmenting hashtags using automatically created training data".

Languages

English

Dataset Structure

Data Instances

{
    "index": 0,
    "hashtag": "BrandThunder",
    "segmentation": "Brand Thunder"
}

Data Fields

index: a numerical index.
hashtag: the original hashtag.
segmentation: the gold segmentation for the hashtag.

Citation Information

@inproceedings{celebi2016segmenting,
  title={Segmenting hashtags using automatically created training data},
  author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
  booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
  pages={2981--2985},
  year={2016}
}

Contributions

This dataset was added by @ruanchaves while developing the hashformers library.