2021
DOI: 10.1108/dta-11-2020-0284
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Using pretraining and text mining methods to automatically extract the chemical scientific data

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

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Cited by 3 publications
(3 citation statements)
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“…Employing sentiment analysis proves instrumental in discerning the nuanced perspectives of netizens regarding fluctuations in air quality across temporal intervals . Predominantly, such sentiment analysis methodologies leverage sophisticated computational models, notably Large Language Models (Wu, Xiang, et al, 2024), GenAI models (Xiang et al, 2024, BERT models (Pang et al, 2019), andMultimodal Transformer (Lyu, Dong, et al, 2022b).…”
Section: Future Research Directionsmentioning
confidence: 99%
“…Employing sentiment analysis proves instrumental in discerning the nuanced perspectives of netizens regarding fluctuations in air quality across temporal intervals . Predominantly, such sentiment analysis methodologies leverage sophisticated computational models, notably Large Language Models (Wu, Xiang, et al, 2024), GenAI models (Xiang et al, 2024, BERT models (Pang et al, 2019), andMultimodal Transformer (Lyu, Dong, et al, 2022b).…”
Section: Future Research Directionsmentioning
confidence: 99%
“…With the development of deep learning models (Lyu et al, 2022aPang et al, 2019;Dong et al, 2023;Lin et al, 2023;Feng et al, 2022;Bu et al, 2021;Zhou et al, 2024a;Zhuang and Al Hasan, 2022;Li et al, 2024Zhou et al, 2023Zhou et al, , 2024bZhang et al, 2024a,b;Mo et al, 2022),…”
Section: Threat Modelsmentioning
confidence: 99%
“…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…”
Section: Introductionmentioning
confidence: 99%