Lecture

Text Retrieval: Document Ranking

Description

This lecture covers the project on text retrieval, focusing on two subtasks: Document Full Ranking and top-100 re-ranking. Students are provided with a corpus of 1,471,405 documents and queries to retrieve relevant documents. The evaluation includes metrics like Recall@10 and NDCG. The lecture also details the dataset structure and the tasks involved in the project.

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