Papers with deep learning re-rankers

1 papers
Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2 (2020.emnlp-main)

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Challenge: a weakly-supervised method is used for document retrieval tasks . traditional methods are used for ad-hoc querying, but they require large amounts of labeled data .
Approach: They propose a weakly-supervised method for training deep learning models for ad-hoc document retrieval using weak-supervision from the documents in the corpus.
Outcome: The proposed method outperforms state-of-the-art methods on a COVID-19 dataset and two news datasets without the need for labeling data.

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