zzy99/epidemic-sentence-pair
A competition-winning solution that uses NLP models to classify whether COVID-19 patient question pairs are semantically similar.
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This repository contains the first-place solution for the Tianchi COVID-19 similar sentence pair classification competition. The project applies natural language processing techniques to identify semantically similar patient questions in a medical Q&A context. It employs k-fold cross-validation, binary classification with cross-entropy loss, and model ensembling using pre-trained language models to achieve high accuracy on sentence pair similarity detection.
Frequently asked
- What is zzy99/epidemic-sentence-pair?
- A competition-winning solution that uses NLP models to classify whether COVID-19 patient question pairs are semantically similar.
- Is epidemic-sentence-pair open source?
- Yes — zzy99/epidemic-sentence-pair is an open-source project tracked on heatdrop.
- What language is epidemic-sentence-pair written in?
- zzy99/epidemic-sentence-pair is primarily written in Python.
- How popular is epidemic-sentence-pair?
- zzy99/epidemic-sentence-pair has 435 stars on GitHub.
- Where can I find epidemic-sentence-pair?
- zzy99/epidemic-sentence-pair is on GitHub at https://github.com/zzy99/epidemic-sentence-pair.