ML Anthology

Medical Synonym Extraction with Concept Space Models

Chang Wang, Liangliang Cao, Bowen Zhou
IJCAI 2015 pp. 989-995
/ijcai/2015/wang2015ijcai-medical/

Abstract

In this paper, we present a novel approach for medical synonym extraction. We aim to integrate the term embedding with the medical domain knowledge for healthcare applications. One advantage of our method is that it is very scalable. Experiments on a dataset with more than 1M term pairs show that the proposed approach outperforms the baseline approaches by a large margin.

PDF IJCAI Semantic Scholar

Cite

Text

Wang et al. "Medical Synonym Extraction with Concept Space Models." International Joint Conference on Artificial Intelligence, 2015.

Markdown

[Wang et al. "Medical Synonym Extraction with Concept Space Models." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/wang2015ijcai-medical/)

BibTeX

@inproceedings{wang2015ijcai-medical,
  title     = {{Medical Synonym Extraction with Concept Space Models}},
  author    = {Wang, Chang and Cao, Liangliang and Zhou, Bowen},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {989-995},
  url       = {https://mlanthology.org/ijcai/2015/wang2015ijcai-medical/}
}