chunked/nltk_chunking/model_doc_dpr/chunk_2.txt

The abstract from the paper is the following:
Open-domain question answering relies on efficient passage retrieval to select candidate contexts, where traditional
sparse vector space models, such as TF-IDF or BM25, are the de facto method.