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The question-answering system for Life science research, which is characterized by the rapid pace of discovery, evolving insights, and complex interactions among knowledge entities, presents unique challenges in maintaining a comprehensive knowledge warehouse and accurate information retrieval.
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Ncbi taxonomy: a comprehensive update on curation, resources and tools
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Plant single-cell solutions for energy and the environment
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Domain-specific language model pretraining for biomedical natural language processing
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Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering
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Physical chemistry for the life sciences
Peter William Atkins, George Ratcliffe, Julio de Paula, and Mark Wormald. 2023 · 2023
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The sciqa scientific question answering benchmark for scholarly knowledge
Sören Auer, Dante AC Barone, Cassiano Bartz, Eduardo G Cortes, Mohamad Yaser Jaradeh, Oliver Karras, Manolis Koubarakis, Dmitry Mouromtsev, Dmitrii Pliukhin, Daniil Radyush, et al. 2023 · 2023
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Interdisciplinary research unlocking innovative solutions in healthcare
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New bing brings ai to search engine
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Hgk-gnn: Heterogeneous graph kernel based graph neural networks
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