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The advent of multilingual language models has generated a resurgence of interest in cross-lingual information retrieval (CLIR), which is the task of searching documents in one language with queries from another.
Automatic Combination of Multiple Ranked Retrieval Systems. In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 1994) . Dublin, Ireland, 173–181
Brian T. Bartell, Garrison W. Cottrell, and Richard K. Belew. 1994 · 1994
Earlier work this paper cites.
Querying Across Languages: A Dictionary-Based Approach to Multilingual Information Retrieval. In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 1996) . Zürich, Switzerland, 49–57
David A. Hull and Gregory Grefenstette. 1996 · 1996
Earlier work this paper cites.
Fusion Via a Linear Combination of Scores
Christopher C. Vogt and Garrison W. Cottrell. 1999 · 1999
Earlier work this paper cites.
Statistical Cross-Language Information Retrieval using N-Best Query Translations. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002) . Tampere, Finland, 49–56
Marcello Federico and Nicola Bertoldi. 2002 · 2002
Earlier work this paper cites.
The Philosophy of Information Retrieval Evaluation. In Evaluation of Cross-Language Information Retrieval Systems: Second Workshop of the Cross-Language Evaluation Forum, Lecture Notes in Computer Science Volume 2406 . 355–370
Ellen M. Voorhees. 2002 · 2002
Earlier work this paper cites.
Learning to Rank Using Gradient Descent. In Proceedings of the 22nd International Conference on Machine Learning (ICML 2005) . Bonn, Germany, 89–96
Christopher J. C. Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. 2005 · 2005
Earlier work this paper cites.
High Accuracy Retrieval with Multiple Nested Ranker. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2006) . Seattle, Washington, 437–444
Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, and Leon Wong. 2006 · 2006
Earlier work this paper cites.
Combining Bidirectional Translation and Synonymy for Cross-Language Information Retrieval. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2006) . Seattle, Washington, 202–209
Jianqiang Wang and Douglas W. Oard. 2006 · 2006
Earlier work this paper cites.
Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods. In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009) . Boston, Massachusetts, 758–759
Gordon V. Cormack, Charles L. A. Clarke, and Stefan Büttcher. 2009 · 2009
Earlier work this paper cites.
Cross-Language Information Retrieval
Jian-Yun Nie. 2010 · 2010
Earlier work this paper cites.
Learning to Efficiently Rank. In Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010) . Geneva, Switzerland, 138–145
Lidan Wang, Jimmy Lin, and Donald Metzler. 2010 · 2010
Earlier work this paper cites.
Information Retrieval Evaluation
Donna Harman. 2011 · 2011
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.
Overview of the TREC 2019 Deep Learning Track. In Proceedings of the Twenty-Eighth Text REtrieval Conference Proceedings (TREC 2019) . Gaithersburg, Maryland
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Ellen M. Voorhees. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . Association for Computational Linguistics, Minneapolis, Minnesota, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
Earlier work this paper cites.
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 2019
Earlier work this paper cites.
Multi-Stage Document Ranking with BERT
Rodrigo Nogueira, Wei Yang, Kyunghyun Cho, and Jimmy Lin. 2019a · 2019
Cited alongside, same era.
Document Expansion by Query Prediction
Rodrigo Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho. 2019b · 2019
Cited alongside, same era.
Overview of the TREC 2019 Precision Medicine Track. In Proceedings of the Twenty-Eighth Text REtrieval Conference (TREC 2019) . Gaithersburg, Maryland
Kirk Roberts, Dina Demner-Fushman, Ellen M. Voorhees, William R. Hersh, Steven Bedrick, Alexander J. Lazar, Shubham Pant, and Funda Meric-Bernstam. 2019 · 2019
Cited alongside, same era.
Critically Examining the “Neural Hype”: Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models. In Proceedings of the 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) . Paris, France, 1129–1132
Wei Yang, Kuang Lu, Peilin Yang, and Jimmy Lin. 2019 · 2019
Cited alongside, same era.
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. 2021 · 2021
Later among the works it cites.
Wacky Weights in Learned Sparse Representations and the Revenge of Score-at-a-Time Query Evaluation
Joel Mackenzie, Andrew Trotman, and Jimmy Lin. 2021 · 2021
Later among the works it cites.
Learning Passage Impacts for Inverted Indexes. In Proceedings of the 44th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021) . 1723–1727
Antonio Mallia, Omar Khattab, Torsten Suel, and Nicola Tonellotto. 2021 · 2021
Later among the works it cites.
To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment. In Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law . 295–300
Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, and Rodrigo Nogueira. 2021 · 2021
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Unsupervised Cross-lingual Representation Learning at Scale. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 8440–8451
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
Overview of the TREC 2020 Deep Learning Track. In Proceedings of the Twenty-Ninth Text REtrieval Conference Proceedings (TREC 2020) . Gaithersburg, Maryland
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, and Daniel Campos. 2020 · 2020
Cited alongside, same era.
Dense Passage Retrieval for Open-Domain Question Answering. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Online, 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.
Document Ranking with a Pretrained Sequence-to-Sequence Model. In Findings of the Association for Computational Linguistics: EMNLP 2020 . 708–718
Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, and Jimmy Lin. 2020 · 2020
Cited alongside, same era.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
Cited alongside, same era.
A Study of Neural Matching Models for Cross-lingual IR. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) . 1637–1640
Puxuan Yu and James Allan. 2020 · 2020
Cited alongside, same era.
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset. In Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020
Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, and Jimmy Lin Kyunghyun Cho. 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 . Association for Computational Linguistics, Online, 547–564
Akari Asai, Jungo Kasai, Jonathan Clark, Kenton Lee, Eunsol Choi, and Hannaneh Hajishirzi. 2021 · 2021
Cited alongside, same era.
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
Later among the works it cites.
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Online, 483–498
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
Later among the works it cites.
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval. In Proceedings of 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.
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion
Shengyao Zhuang and Guido Zuccon. 2021 · 2021
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From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . Madrid, Spain, 2353–2359
Thibault Formal, Carlos Lassance, Benjamin Piwowarski, and Stéphane Clinchant. 2022 · 2022
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To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. In Proceedings of the 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022) . Madrid, Spain, 2495–2500
Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, and Guido Zuccon. 2022 · 2022
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Simple Yet Effective Pseudo Relevance Feedback with Rocchio’s Technique and Text Classification
Yuqi Liu. 2022 · 2022
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Another Look at DPR: Reproduction of Training and Replication of Retrieval. In Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022), Part I . Stavanger, Norway, 613–626
Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li, and Jimmy Lin. 2022 · 2022
Later among the works it cites.
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. In Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022), Part I . Stavanger, Norway, 655–670
Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, and Jimmy Lin. 2022 · 2022
Later among the works it cites.
Guilherme Moraes Rosa, Luiz Bonifacio, Vitor Jeronymo, Hugo Abonizio, Roberto Lotufo, and Rodrigo Nogueira. 2022 · 2022
Later among the works it cites.
Towards Best Practices for Training Multilingual Dense Retrieval Models
Xinyu Zhang, Kelechi Ogueji, Xueguang Ma, and Jimmy Lin. 2022 · 2022
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InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval
Vitor Jeronymo, Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee, Roberto Lotufo, Jakub Zavrel, and Rodrigo Nogueira. 2023 · 2023
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An Experimental Study on Pretraining Transformers from Scratch for IR
Carlos Lassance, Hervé Déjean, and Stéphane Clinchant. 2023 · 2023
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