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Due to high annotation costs making the best use of existing human-created training data is an important research direction.
Understanding inverse document frequency: on theoretical arguments for IDF
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Deciding on an adjustment for multiplicity in IR experiments. In SIGIR . 403–412
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Decoupled weight decay regularization
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Natural Questions: a benchmark for question answering research
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The neural hype and comparisons against weak baselines. In ACM SIGIR Forum , Vol. 52. 40–51
Jimmy Lin. 2019 · 2019
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An introduction to neural information retrieval
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Rodrigo Nogueira and Kyunghyun Cho. 2019 · 2019
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MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models
Mandy Guo, Yinfei Yang, Daniel Cer, Qinlan Shen, and Noah Constant. 2020b · 2020
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Crowd Worker Strategies in Relevance Judgment Tasks. In WSDM . 241–249
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Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. In ECAI . 513–520
Sebastian Hofstätter, Markus Zlabinger, and Allan Hanbury. 2020 · 2020
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Dense Passage Retrieval for Open-Domain Question Answering
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Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2019 · 2019
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Cross-lingual relevance transfer for document retrieval
Peng Shi and Jimmy Lin. 2019 · 2019
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Cross-domain modeling of sentence-level evidence for document retrieval. In EMNLP-IJCNLP . 3481–3487
Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang, and Jimmy Lin. 2019 · 2019
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Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study
Sophia Althammer, Sebastian Hofstätter, and Allan Hanbury. 2020 · 2020
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Flexible retrieval with NMSLIB and FlexNeuART. In Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS) . 32–43
Leonid Boytsov and Eric Nyberg. 2020 · 2020
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Overview of the TREC 2019 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Ellen M Voorhees. 2020 · 2020
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A deep look into neural ranking models for information retrieval
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Jimmy Lin, Rodrigo Nogueira, and Andrew Yates. 2020 · 2020
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Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning. In ECIR . Springer, 246–254
Sean MacAvaney, Luca Soldaini, and Nazli Goharian. 2020 · 2020
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On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach, Maksym Andriushchenko, and Dietrich Klakow. 2020 · 2020
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Document ranking with a pretrained sequence-to-sequence model
Rodrigo Nogueira, Zhiying Jiang, and Jimmy Lin. 2020 · 2020
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MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
Andreas Rücklé, Jonas Pfeiffer, and Iryna Gurevych. 2020 · 2020
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A Little Bit Is Worse Than None: Ranking with Limited Training Data. In Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing . 107–112
Xinyu Zhang, Andrew Yates, and Jimmy Lin. 2020 · 2020
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Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. In ECIR . 63–78
Leonid Boytsov and Zico Kolter. 2021 · 2021
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BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
Closest in time.