Using Semantic Text Similarity calculation for question matching in a rheumatoid arthritis question-answering system.

ABSTRACT:

Background

When users inquire about knowledge in a certain field using the internet, the intelligent question-answering system based on frequently asked questions (FAQs) provides numerous concise and accurate answers that have been manually verified. However, there are few specific question-answering systems for chronic diseases, such as rheumatoid arthritis, and the related technology to construct a question-answering system about chronic diseases is not sufficiently mature.

Methods

Our research embedded the classification information of the question into the sentence vector based on the bidirectional encoder representations from transformers (BERT) language model. First of all, we calculated the similarity using edit distance to recall the candidate set of similar question

SUBMITTER: Li M 

PROVIDER: S-EPMC10102790 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature