bert-multilingual-passage-reranking-msmarco

**Purpose:** This module takes a search query [1] and a passage [2] and calculates if the passage matches the query. It can be used as an improvement for Elasticsearch Results and boosts the relevancy by up to 100%. **Architecture:** On top of BERT there is a Densly Connected NN which takes the 768 Dimensional [CLS] Token as input and provides the output (Arxiv). **Output:** Just a single value between between -10 and 10. Better matching query,passage pairs tend to have a higher a score.

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