| Challenge: | Existing search methods for COVID-19 are not based on scientific data, but use a neural re-ranking model pre-trained on scientific text. |
| Approach: | They propose a zero-shot ranking algorithm that adapts to COVID-related scientific literature . they use a neural re-ranking model pre-trained on scientific text and filters the target document . |
| Outcome: | The proposed algorithm outperforms models on the TREC COVID Round 1 leaderboard . it outperformed models that do not rely on TREC-COVID data . |
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Extracting a Knowledge Base of Mechanisms from COVID-19 Papers (2021.naacl-main)
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Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel Weld, Roy Schwartz, Hannaneh Hajishirzi
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A Thorough Examination on Zero-shot Dense Retrieval (2023.findings-emnlp)
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Document Classification for COVID-19 Literature (2020.findings-emnlp)
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| Challenge: | a global pandemic has made it more important than ever to quickly and accurately retrieve relevant scientific literature for effective consumption by researchers in a wide variety of fields. |
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| Challenge: | 0Shot-TC is a challenging NLU problem to which little attention has been paid by the research community. |
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COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation (2021.naacl-demos)
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Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Ranran Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed ELsayed, Martha Palmer, Clare Voss, Cynthia Schneider, Boyan Onyshkevych
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LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews (2025.findings-acl)
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Transitioning from benchmarks to a real-world case of information-seeking in Scientific Publications (2023.findings-acl)
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| Challenge: | Scientific publications are one of the primary means by which researchers disseminate their findings and discoveries to the community, but the amount of information to go through can easily become daunting and challenging. |
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Exploration and Discovery of the COVID-19 Literature through Semantic Visualization (2021.naacl-srw)
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| Challenge: | Existing semantic visualization methods are limited in finding connections between corpora targeting a specific topic. |
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