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Found 5 papers, 3 papers with code
Combining Language and Graph Models for Semi-structured Information Extraction on the Web
Relation extraction is an efficient way of mining the extraordinary wealth of human knowledge on the Web.
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Recent studies suggested that these models could be useful in chemistry and materials science.
The Diminishing Returns of Masked Language Models to Science
Transformer-based masked language models such as BERT, trained on general corpora, have shown impressive performance on downstream tasks.
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text
Researchers worldwide are seeking to repurpose existing drugs or discover new drugs to counter the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release
Researchers across the globe are seeking to rapidly repurpose existing drugs or discover new drugs to counter the the novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
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