The following papers appear to have a lot of overlap with the goals that we are trying to accomplish with this project. They could offer some good insights into how we could improve the current process/alternative ways to do this harmonization.
Exploiting Sentence Embedding for Medical Question Answering
I haven't reviewed either of these papers yet, so they may not actually be helpful at all for what we're doing. But, judging from their abstracts, it seems they could be useful, or at the very least help to inform the approach we should take here.
Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis (https://doi.org/10.2196%2F23099)
The following papers appear to have a lot of overlap with the goals that we are trying to accomplish with this project. They could offer some good insights into how we could improve the current process/alternative ways to do this harmonization.
Exploiting Sentence Embedding for Medical Question Answering
https://doi.org/10.48550/arXiv.1811.06156 (2018, ~8 pages)
Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions
https://doi.org/10.48550/arXiv.2202.09166 (Feb. 2022, ~25 pages). This paper is under review.
I haven't reviewed either of these papers yet, so they may not actually be helpful at all for what we're doing. But, judging from their abstracts, it seems they could be useful, or at the very least help to inform the approach we should take here.