This repo holds code for running baseline models presented in our paper: COMETA: A Corpus for Medical Entity Linking in the Social Media at EMNLP 2020.
COMETA is an entity linking dataset of layman medical terminology. It has been collected by analysing four years of content in 68 health-themed subreddits and annotating the most frequent with their corresponding SNOMED-CT entities. Each term is assigned two annotations: a General SNOMED-CT identifier and a Specific one, denoting respectively the literal and contextual meaning of the term.
For a copy of the corpus, please download here: google drive, dropbox.
| Model | Download Link |
|---|---|
| Bioreddit-FastText | bin, vec |
| Bioreddit-BERT | huggingface |
You can find vectors trained on the same Bioreddit corpus for ELMo, Flair and GloVE in this repository.
If you use our corpus or our embeddings, please cite:
@inproceedings{basaldella-etal-2020-cometa,
title = "{COMETA}: A Corpus for Medical Entity Linking in the Social Media",
author = "Basaldella, Marco and
Liu, Fangyu and
Shareghi, Ehsan and
Collier, Nigel",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-main.253",
pages = "3122--3137",
}