Update README.md

README.md

@@ -24,16 +24,19 @@ task_ids:
 
 ## Dataset Description
 
-- **Repository:** [glushkovato/hashtag_segmentation](https://github.com/glushkovato/hashtag_segmentation/)
-- **Paper:** [Char-RNN and Active Learning for Hashtag Segmentation](https://arxiv.org/abs/1911.03270)
+- **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
 
-Real hashtags collected from several pages about civil services on vk.com (a Russian social network) and then segmented manually.
+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
 
-Russian
+English
 
 ## Dataset Structure
 
@@ -41,9 +44,9 @@ Russian
 
 ```
 {
-  "index": 0, 
-  "hashtag": "ЁлкаВЗазеркалье",
-  "segmentation": "Ёлка В Зазеркалье"
+    "index": 0,
+    "hashtag": "tryingtosleep",
+    "segmentation": "trying to sleep"
 }
 ```
 
@@ -56,11 +59,15 @@ Russian
 ### Citation Information
 
 ```
-@article{glushkova2019char,
-  title={Char-RNN and Active Learning for Hashtag Segmentation},
-  author={Glushkova, Taisiya and Artemova, Ekaterina},
-  journal={arXiv preprint arXiv:1911.03270},
-  year={2019}
+@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}
 }
 ```