Fetching the paper…
Reading the bibliography…
OpenMatch is a Python-based library that serves for Neural Information Retrieval (Neu-IR) research.
Few-Shot Generative Conversational Query Rewriting. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 1933–1936
Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul Bennett, Jianfeng Gao, and Zhiyuan Liu. 2020 · 1936
Earlier work this paper cites.
Extended Boolean information retrieval
Gerard Salton, Edward A Fox, and Harry Wu. 1983 · 1983
Earlier work this paper cites.
Cast-19: A dataset for Conversational Information Seeking. In Proceedings of SIGIR . 1985–1988
Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, and Jamie Callan. 2020b · 1988
Earlier work this paper cites.
Term-weighting approaches in automatic text retrieval
Gerard Salton and Christopher Buckley. 1988 · 1988
Earlier work this paper cites.
Okapi at TREC-3
Stephen E Robertson, Steve Walker, Susan Jones, Micheline M Hancock-Beaulieu, Mike Gatford, et al · 1995
Earlier work this paper cites.
A language modeling approach to information retrieval. In Proceedings of SIGIR . 275–281
Jay M Ponte and W Bruce Croft. 1998 · 1998
Earlier work this paper cites.
Challenges in Enterprise Search.. In Proceedings of ADC . 15–24
David Hawking. 2004 · 2004
Earlier work this paper cites.
TREC 2004 Robust Track Experiments Using PIRCS.. In Proceedings of TREC
Kui-Lam Kwok, Laszlo Grunfeld, HL Sun, Peter Deng, and N Dinstl. 2004 · 2004
Earlier work this paper cites.
Learning to rank using gradient descent. In Proceedings of ICML . 89–96
Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. 2005 · 2005
Earlier work this paper cites.
Using ODP metadata to personalize search. In Proceedings of SIGIR . 178–185
Paul Alexandru Chirita, Wolfgang Nejdl, Raluca Paiu, and Christian Kohlschütter. 2005 · 2005
Earlier work this paper cites.
A Markov random field model for term dependencies. In Proceedings of SIGIR . 472–479
Donald Metzler and W Bruce Croft. 2005 · 2005
Earlier work this paper cites.
Linear feature-based models for information retrieval
Donald Metzler and W Bruce Croft. 2007 · 2007
Earlier work this paper cites.
Clueweb09 data set
Jamie Callan, Mark Hoy, Changkuk Yoo, and Le Zhao. 2009 · 2009
Earlier work this paper cites.
The probabilistic relevance framework: BM25 and beyond
Stephen Robertson and Hugo Zaragoza. 2009 · 2009
Earlier work this paper cites.
Adapting boosting for information retrieval measures
Qiang Wu, Christopher JC Burges, Krysta M Svore, and Jianfeng Gao. 2010 · 2010
Earlier work this paper cites.
Random forests
Adele Cutler, D Richard Cutler, and John R Stevens. 2012 · 2012
Earlier work this paper cites.
Translating Embeddings for Modeling Multi-relational Data. In NIPS
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, J. Weston, and Oksana Yakhnenko. 2013 · 2013
Cited alongside, same era.
MS MARCO: A human generated machine reading comprehension dataset. In CoCo@ NIPS
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Cited alongside, same era.
Reading Wikipedia to Answer Open-Domain Questions. In Proceedings of ACL . 1870–1879
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
Cited alongside, same era.
Relevance-Based Language Models
Victor Lavrenko and W. Bruce Croft. 2017 · 2017
Cited alongside, same era.
Attention is all you need. In Advances in neural information processing systems . 5998–6008
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Understanding the Behaviors of BERT in Ranking
Yifan Qiao, Chenyan Xiong, Zheng-Hao Liu, and Zhiyuan Liu. 2019 · 2019
Later among the works it cites.
HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 2019
Later among the works it cites.
Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models. In Proceedings of SIGIR . 1129–1132
Wei Yang, Kuang Lu, Peilin Yang, and Jimmy Lin. 2019 · 2019
Later among the works it cites.
Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
End-to-end neural ad-hoc ranking with kernel pooling. In Proceedings of SIGIR . 55–64
Chenyan Xiong, Zhuyun Dai, Jamie Callan, Zhiyuan Liu, and Russell Power. 2017 · 2017
Cited alongside, same era.
Anserini: Enabling the use of Lucene for information retrieval research. In Proceedings of SIGIR . 1253–1256
Peilin Yang, Hui Fang, and Jimmy Lin. 2017 · 2017
Cited alongside, same era.
Challenges in the development of effective systems for professional legal search. In Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH’18) Co-located with (ACM SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018
Piyush Arora, Murhaf Hossari, Alfredo Maldonado, Clare Conran, and Gareth JF Jones. 2018 · 2018
Cited alongside, same era.
Convolutional neural networks for soft-matching n-grams in ad-hoc search. In Proceedings of WSDM . 126–134
Zhuyun Dai, Chenyan Xiong, Jamie Callan, and Zhiyuan Liu. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. In Proceedings of ACL . 2395–2405
Zheng-Hao Liu, Chenyan Xiong, Maosong Sun, and Zhiyuan Liu. 2018 · 2018
Cited alongside, same era.
The Fact Extraction and VERification (FEVER) Shared Task. In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER) . 1–9
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
Cited alongside, same era.
CAsT 2020: The Conversational Assistance Track Overview
Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2020a · 2020
Later among the works it cites.
Interpretable & time-budget-constrained contextualization for re-ranking
Sebastian Hofstätter, Markus Zlabinger, and Allan Hanbury. 2020 · 2020
Later among the works it cites.
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Later among the works it cites.
OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline. In Proceedings of WSDM . 845–848
Sean MacAvaney. 2020 · 2020
Later among the works it cites.
Open-Retrieval Conversational Question Answering
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W Bruce Croft, and Mohit Iyyer. 2020 · 2020
Later among the works it cites.
TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19
Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy Lu Wang, and William R Hersh. 2020 · 2020
Later among the works it cites.
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision
Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, and Paul Bennett. 2020 · 2020
Later among the works it cites.
CORD-19: The Covid-19 Open Research Dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, et al · 2020
Later among the works it cites.
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
Later among the works it cites.
Selective Weak Supervision for Neural Information Retrieval. In Proceedings of WWW . 474–485
Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, and Zhiyuan Liu. 2020 · 2020
Later among the works it cites.
Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, and Rodrigo Nogueira. 2021 · 2021
Closest in time.
Few-Shot Conversational Dense Retrieval. In Proceedings of SIGIR
Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, and Zhiyuan Liu. 2021 · 2021
Closest in time.