---
language: 
- en
bigbio_language: 
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: AskAPatient
homepage: https://zenodo.org/record/55013
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks: 
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
---


# Dataset Card for AskAPatient

## Dataset Description

- **Homepage:** https://zenodo.org/record/55013
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED



The AskAPatient dataset contains medical concepts written on social media mapped to how they are formally written in medical ontologies (SNOMED-CT and AMT).



## Citation Information

```

@inproceedings{limsopatham-collier-2016-normalising,
    title = "Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation",
    author = "Limsopatham, Nut  and
      Collier, Nigel",
    booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = aug,
    year = "2016",
    address = "Berlin, Germany",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P16-1096",
    doi = "10.18653/v1/P16-1096",
    pages = "1014--1023",
}

```