Abstract:Purpose
In computational chemistry, the chemical bond energy (pKa) is essential, but most pKa-related data are submerged in scientific papers, with only a few data that have been extracted by domain experts manually. The loss of scientific data does not contribute to in-depth and innovative scientific data analysis. To address this problem, this study aims to utilize natural language processing methods to extract pKa-related scientific data in chemical papers.
Desi… Show more
“…Natural language processing (NLP) has been successfully applied in the chemical, medical, and materials sciences to produce structured data from unstructured text using methods and models such as pattern recognition, recurrent neural networks, and language models. 28,28–52…”
Although gold nanorods have been the subject of much research, the pathways for controlling their shape and thereby their optical properties remain largely heuristically understood. Although it is apparent that...
“…Natural language processing (NLP) has been successfully applied in the chemical, medical, and materials sciences to produce structured data from unstructured text using methods and models such as pattern recognition, recurrent neural networks, and language models. 28,28–52…”
Although gold nanorods have been the subject of much research, the pathways for controlling their shape and thereby their optical properties remain largely heuristically understood. Although it is apparent that...
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