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MIRACL (Multilingual Information Retrieval Across a Continuum of Languages) is a multilingual dataset we have built for the WSDM 2023 Cup challenge that focuses on ad hoc retrieval across 18 different languages, which collectively encompass over three billion native speakers around the world.
The Probabilistic Relevance Framework: BM25 and Beyond
Stephen Robertson and Hugo Zaragoza. 2009 · 2009
Earlier work this paper cites.
SQuAD: 100,000+ Questions for Machine Comprehension of Text. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing . Austin, Texas, 2383–2392
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Earlier work this paper cites.
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Vancouver, Canada, 1601–1611
Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, and Tong Wang. 2018 · 2018
Earlier work this paper cites.
Anserini: Reproducible Ranking Baselines Using Lucene
Peilin Yang, Hui Fang, and Jimmy Lin. 2018 · 2018
Earlier work this paper cites.
Natural Questions: A Benchmark for Question Answering Research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
Earlier work this paper cites.
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 2019
Earlier work this paper cites.
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki. 2020 · 2020
Earlier work this paper cites.
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation. In Proceedings of the 37th International Conference on Machine Learning . 4411–4421
Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, and Melvin Johnson. 2020 · 2020
Earlier work this paper cites.
The State and Fate of Linguistic Diversity and Inclusion in the NLP World. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Online, 6282–6293
Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, and Monojit Choudhury. 2020 · 2020
Earlier work this paper cites.
Dense Passage Retrieval for Open-Domain Question Answering. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 6769–6781
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Cited alongside, same era.
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
Omar Khattab and Matei Zaharia. 2020 · 2020
Cited alongside, same era.
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning. In Proceedings of the 42nd European Conference on Information Retrieval, Part II (ECIR 2020) . 246–254
Sean MacAvaney, Luca Soldaini, and Nazli Goharian. 2020 · 2020
Cited alongside, same era.
Document Ranking with a Pretrained Sequence-to-Sequence Model. In Findings of the Association for Computational Linguistics: EMNLP 2020 . Association for Computational Linguistics, Online, 708–718
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. In Proceedings of the 44th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021) . 2356–2362
Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, and Rodrigo Nogueira. 2021a · 2021
Later among the works it cites.
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
Shayne Longpre, Yi Lu, and Joachim Daiber. 2021 · 2021
Later among the works it cites.
BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. In Neural Information Processing Systems: Datasets and Benchmarks Track
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
Later among the works it cites.
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. In Proceedings of the 9th International Conference on Learning Representations (ICLR 2021)
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, and Arnold Overwijk. 2021 · 2021
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Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, and Jimmy Lin. 2020 · 2020
Cited alongside, same era.
Cross-Lingual Training of Neural Models for Document Ranking. In Findings of the Association for Computational Linguistics: EMNLP 2020 . Online, 2768–2773
Peng Shi, He Bai, and Jimmy Lin. 2020 · 2020
Cited alongside, same era.
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Online, 4160–4170
Shuo Sun and Kevin Duh. 2020 · 2020
Cited alongside, same era.
XOR QA: Cross-lingual Open-Retrieval Question Answering. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Online, 547–564
Akari Asai, Jungo Kasai, Jonathan Clark, Kenton Lee, Eunsol Choi, and Hannaneh Hajishirzi. 2021 · 2021
Cited alongside, same era.
mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset
Luiz Henrique Bonifacio, Israel Campiotti, Vitor Jeronymo, Roberto Lotufo, and Rodrigo Nogueira. 2021 · 2021
Cited alongside, same era.
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. In Proceedings of the 44th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021) . 1566–1576
Nick Craswell, Bhaskar Mitra, Daniel Campos, Emine Yilmaz, and Jimmy Lin. 2021 · 2021
Cited alongside, same era.
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy Lin, Rodrigo Nogueira, and Andrew Yates. 2021b
Cited in the paper.
Later among the works it cites.
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval. In Proceedings of the 1st Workshop on Multilingual Representation Learning . Punta Cana, Dominican Republic, 127–137
Xinyu Zhang, Xueguang Ma, Peng Shi, and Jimmy Lin. 2021 · 2021
Later among the works it cites.
Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval
Luyu Gao, Xueguang Ma, Jimmy Lin, and Jamie Callan. 2022 · 2022
Closest in time.
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. In Proceedings of the 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022) . Madrid, Spain, 2939–2948
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, and Emine Yilmaz. 2022 · 2022
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Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models. In Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022), Part I . Stavanger, Norway, 382–396
Suraj Nair, Eugene Yang, Dawn Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, and Douglas W. Oard. 2022 · 2022
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Towards Best Practices for Training Multilingual Dense Retrieval Models
Xinyu Zhang, Kelechi Ogueji, Xueguang Ma, and Jimmy Lin. 2022 · 2022
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