Papers with Passage retrieval
Joint Inference of Retrieval and Generation for Passage Re-ranking (2024.findings-eacl)
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| Challenge: | Existing methods for re-ranking documents are sparse and do not require training. |
| Approach: | They propose a method that optimizes mutual information between query and passage distributions by integrating cross-encoders and generative models in the re-ranking process. |
| Outcome: | The proposed method outperforms conventional re-rankers and language model scorers in open-domain QA retrieval settings and diverse retrieval benchmarks under zero-shot settings. |
Dealing with Typos for BERT-based Passage Retrieval and Ranking (2021.emnlp-main)
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| Challenge: | Current approaches to passage retrieval and ranking rely on pre-trained deep language models that model the semantic matching between queries and passages. |
| Approach: | They propose a typos-aware training framework for DR and BERT to address this issue. |
| Outcome: | The proposed models respond and adapt to keyword typos occurring in queries, and significantly improve their retrieval and ranking effectiveness. |
A Deep Metric Learning Method for Biomedical Passage Retrieval (2020.coling-main)
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| Challenge: | Existing methods for passage retrieval are based on metric learning . the proposed approach is particularly well suited for domain-specific passage retrievals where it is very important to take into account different sources of information. |
| Approach: | They propose a method that learns a metric for questions and passages based on their internal semantic interactions. |
| Outcome: | The proposed method outperforms triplet loss and state-of-the-art methods in a biomedical passage retrieval task and outperformed triplet losses by 10% and 26%. |