Reading comprehension based question-answering model for news articles.
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Updated
Jun 22, 2022 - Jupyter Notebook
Reading comprehension based question-answering model for news articles.
A scalable two-stage news recommender that retrieves relevant candidates and reranks them using hybrid lexical and semantic features to optimize top-K recommendation quality.
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