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Investigating whether pre-trained language models (LMs) can function as knowledge bases (KBs) has raised wide research interests recently.
RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Gene Ontology: tool for the unification of biology
Michael Ashburner, Catherine A. Ball, Judith A. Blake, David Botstein, Heather L. Butler, J. Michael Cherry, Allan Peter Davis, Kara Dolinski, Selina S. Dwight, Janan T. Eppig, Midori A. Harris, David P. Hill, Laurie Issel-Tarver, Andrew Kasarskis, Suzanna E. Lewis, John C. Matese, Joel E. Richardson, Martin Ringwald, Gerald M. Rubin, and Gavin Sherlock. 2000 · 2000
Earlier work this paper cites.
Ontology-based semantic construction underspecification and disambiguation
Philipp Cimiano and Uwe Reyle. 2003 · 2003
Earlier work this paper cites.
OWL web ontology language reference
Sean Bechhofer, Frank Van Harmelen, Jim Hendler, Ian Horrocks, Deborah L McGuinness, Peter F Patel-Schneider, Lynn Andrea Stein, et al. 2004 · 2004
Earlier work this paper cites.
Debugging and Semantic Clarification by Pinpointing
Stefan Schlobach. 2005 · 2005
Earlier work this paper cites.
OWL 2: The next step for OWL
Bernardo Cuenca Grau, Ian Horrocks, Boris Motik, Bijan Parsia, Peter Patel-Schneider, and Ulrike Sattler. 2008 · 2008
Earlier work this paper cites.
Markus Krötzsch, František Simančík, and Ian Horrocks. 2012 · 2012
Earlier work this paper cites.
Disease Ontology: a backbone for disease semantic integration
Lynn M. Schriml, Cesar Arze, Suvarna Nadendla, Yu-Wei Wayne Chang, Mark Mazaitis, Victor Felix, Gang Feng, and W. Kibbe. 2012 · 2012
Earlier work this paper cites.
Representing General Relational Knowledge in ConceptNet 5
Robyn Speer and Catherine Havasi. 2012 · 2012
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Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
HermiT: an OWL 2 reasoner
Birte Glimm, Ian Horrocks, Boris Motik, Giorgos Stoilos, and Zhe Wang. 2014 · 2014
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Minimizing conservativity violations in ontology alignments: algorithms and evaluation
Alessandro Solimando, Ernesto Jiménez-Ruiz, and Giovanna Guerrini. 2017 · 2017
Earlier work this paper cites.
FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration
Damion M. Dooley, Emma J. Griffiths, Gurinder Pal Singh Gosal, Pier Luigi Buttigieg, R. Hoehndorf, Matthew Lange, Lynn M. Schriml, Fiona S. L. Brinkman, and William W. L. Hsiao. 2018 · 2018
Cited alongside, same era.
A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
Decoupled Weight Decay Regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
Cited alongside, same era.
Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art
Patrick Lewis, Myle Ott, Jingfei Du, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
A Review on Language Models as Knowledge Bases
Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona T. Diab, and Marjan Ghazvininejad. 2022 · 2022
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Contextual Semantic Embeddings for Ontology Subsumption Prediction
Jiaoyan Chen, Yuan He, Ernesto Jiménez-Ruiz, Hang Dong, and Ian Horrocks. 2022 · 2022
Later among the works it cites.
Time-aware language models as temporal knowledge bases
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, and William W. Cohen. 2022 · 2022
Later among the works it cites.
OpenPrompt: An open-source framework for prompt-learning
Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Haitao Zheng, and Maosong Sun. 2022 · 2022
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BERTMap: A BERT-Based Ontology Alignment System
Yuan He, Jiaoyan Chen, Denvar Antonyrajah, and Ian Horrocks. 2022 · 2022
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Concept placement using BERT trained by transforming and summarizing biomedical ontology structure
Hao Liu, Yehoshua Perl, and James Geller. 2020 · 2020
Cited alongside, same era.
A survey on recognizing textual entailment as an NLP evaluation
Adam Poliak. 2020 · 2020
Cited alongside, same era.
Analyzing Commonsense Emergence in Few-shot Knowledge Models
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, and Antoine Bosselut. 2021 · 2021
Cited alongside, same era.
Making pre-trained language models better few-shot learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2021 · 2021
Cited alongside, same era.
Probing across time: What does RoBERTa know and when?
Zeyu Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, and Noah A. Smith. 2021b · 2021
Cited alongside, same era.
Exploiting cloze-questions for few-shot text classification and natural language inference
Timo Schick and Hinrich Schütze. 2021 · 2021
Cited alongside, same era.
Can language models be biomedical knowledge bases?
Mujeen Sung, Jinhyuk Lee, Sean Yi, Minji Jeon, Sungdong Kim, and Jaewoo Kang. 2021 · 2021
Cited alongside, same era.
Are prompt-based models clueless?
Pride Kavumba, Ryo Takahashi, and Yusuke Oda. 2022 · 2022
Later among the works it cites.
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, and Tatsunori Hashimoto. 2022 · 2022
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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2022 · 2022
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679Textual Entailment
Sebastian Padó and Ido Dagan. 2022 · 2022
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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. 2022 · 2022
Later among the works it cites.
Ontology-enhanced Prompt-tuning for Few-shot Learning
Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, and Huajun Chen. 2022 · 2022
Later among the works it cites.