gabrielaltay
commited on
Commit
•
b36c5a2
1
Parent(s):
cc17f57
upload hub_repos/twadrl/README.md to hub from bigbio repo
Browse files
README.md
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
language:
|
4 |
+
- en
|
5 |
+
license: cc-by-4.0
|
6 |
+
license_bigbio_shortname: CC_BY_4p0
|
7 |
+
pretty_name: TwADR-L
|
8 |
+
---
|
9 |
+
|
10 |
+
|
11 |
+
# Dataset Card for TwADR-L
|
12 |
+
|
13 |
+
## Dataset Description
|
14 |
+
|
15 |
+
- **Homepage:** https://zenodo.org/record/55013
|
16 |
+
- **Pubmed:** False
|
17 |
+
- **Public:** True
|
18 |
+
- **Tasks:** Named Entity Recognition, Named Entity Disambiguation
|
19 |
+
|
20 |
+
|
21 |
+
|
22 |
+
The TwADR-L dataset contains medical concepts written on social media (Twitter) mapped to how they are formally written in medical ontologies (SIDER 4).
|
23 |
+
|
24 |
+
|
25 |
+
## Citation Information
|
26 |
+
|
27 |
+
```
|
28 |
+
|
29 |
+
@inproceedings{limsopatham-collier-2016-normalising,
|
30 |
+
title = "Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation",
|
31 |
+
author = "Limsopatham, Nut and
|
32 |
+
Collier, Nigel",
|
33 |
+
booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
|
34 |
+
month = aug,
|
35 |
+
year = "2016",
|
36 |
+
address = "Berlin, Germany",
|
37 |
+
publisher = "Association for Computational Linguistics",
|
38 |
+
url = "https://aclanthology.org/P16-1096",
|
39 |
+
doi = "10.18653/v1/P16-1096",
|
40 |
+
pages = "1014--1023",
|
41 |
+
}
|
42 |
+
|
43 |
+
```
|