@inproceedings{reed-cutsuridis-2020-demonstration,
title = "Demonstration of a Literature Based Discovery System based on Ontologies, Semantic Filters and Word Embeddings for the Raynaud Disease-Fish Oil Rediscovery",
author = "Reed, Toby and
Cutsuridis, Vassilis",
editor = "Goyal, Vishal and
Ekbal, Asif",
booktitle = "Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations",
month = dec,
year = "2020",
address = "Patna, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2020.icon-demos.1",
pages = "1--3",
abstract = "A novel literature-based discovery system based on UMLS Ontologies, Semantic Filters, Statistics, and Word Embed-dings was developed and validated against the well-established Raynaud{'}s disease {--} Fish Oil discovery by min-ing different size and specificity corpora of Pubmed titles and abstracts. Results show an {`}inverse effect{'} between open ver-sus closed discovery search modes. In open discovery, a more general and bigger corpus (Vascular disease or Peri-vascular disease) produces better results than a more specific and smaller in size corpus (Raynaud disease), whereas in closed discovery, the exact opposite is true.",
}
Markdown (Informal)
[Demonstration of a Literature Based Discovery System based on Ontologies, Semantic Filters and Word Embeddings for the Raynaud Disease-Fish Oil Rediscovery](https://aclanthology.org/2020.icon-demos.1) (Reed & Cutsuridis, ICON 2020)
ACL