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We propose a design pattern for tackling text ranking problems, dubbed "Expando-Mono-Duo", that has been empirically validated for a number of ad hoc retrieval tasks in different domains.
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Neural Information Retrieval: At the End of the Early Years
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Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 3481–3487
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Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval
Zhuyun Dai and Jamie Callan. 2019a · 2019
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ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. In Proceedings of the 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) . 39–48
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Reformer: The Efficient Transformer. In Proceedings of the 8th International Conference on Learning Representations (ICLR 2020)
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 7871–7880
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PARADE: Passage Representation Aggregation for Document Reranking
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Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy Lin, Rodrigo Nogueira, and Andrew Yates. 2020a · 2020
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Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. 2020b · 2020
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SLEDGE: A Simple Yet Effective Zero-Shot Baseline for Coronavirus Scientific Knowledge Search. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 4171–4179
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TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19
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The Cascade Transformer: an Application for Efficient Answer Sentence Selection. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 5697–5708
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TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
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CORD-19: The COVID-19 Open Research Dataset
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Early Exiting BERT for Efficient Document Ranking. In Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing . 83–88
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Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, and Arnold Overwijk. 2020 · 2020
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PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020) . 2021–2032
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2020b · 2032
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