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Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

, , , , , , , , and . EMNLP (Findings), page 250-262. Association for Computational Linguistics, (2022)

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Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?, , , , , , , , and . EMNLP (Findings), page 250-262. Association for Computational Linguistics, (2022)Unified Open-Domain Question Answering with Structured and Unstructured Knowledge., , , , , , , , and . CoRR, (2020)Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering., , , , and . CoRR, (2021)Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?, , , , , , , , and . CoRR, (2021)Robustly Optimized and Distilled Training for Natural Language Understanding., and . CoRR, (2021)UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering., , , , , , , , and . NAACL-HLT (Findings), page 1535-1546. Association for Computational Linguistics, (2022)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , and 43 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 86-111. PMLR, (2020)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , and 43 other author(s). CoRR, (2021)