Medical Synonym Extraction with Concept Space Models
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jun 2015.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1.
3 papers.
- 2021KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graphcited by 4
- 2021An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resourcecited by 1
- 2023#REVAL: a semantic evaluation framework for hashtag recommendationcited by 0
- 2023#REVAL: a semantic evaluation framework for hashtag recommendation24 May 2023
- 2021An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource18 May 2021
- 2021KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph16 Mar 2021