Passage re-ranking is a machine learning task that estimates relevance scores between a given query and candidate passages. Keyword features based on the lexical similarities between queries and passages have been traditionally used for the passage re-ranking models. However. such approaches have a limitation; it is difficult to find semantic and contextual features beyond word-matchi... https://www.bekindtopets.com/huge-sale-Jeffers-Citronella-Aloe-All-Natural-Horse-Shampoo-mega-choice/