This methodology was used in Morelli et al.9, and we calculate accuracy as \(\frac{TP}{TP + FP + FN}.\) We assess the performance of our classifiers using measures of precision, recall, F1 score, and accuracy. Precision is the proportion of automatic counts that are correct based on ...
They found the system to be 71% accurate in determining the origin of the writer and could place the date of writing to within 30 years, on average. More information: Yannis Assael et al, Restoring and attributing ancient texts using deep neural networks, Nature (2022). DOI: 10.1038/s4...
All analyses were performed in R33. Mixed effect Logistic regression models were created using the lme4 package34 (see Brown et al., 2020 for further details about mixed effects models). Plots were created using the ggplot235 and ggeffects package36. We ran simple correlations between our ex...
Arik SO, Chrzanowski M, Coates A, Diamos G, Gibiansky A, Kang Y, Li X, Miller J, Ng A, Raiman J, Sengupta S, Shoeybi M (2017) Deep voice: Real-time neural text-to-speech. International Conference on Machine Learning, PMLR Panayotov V et al (2015) Librispeech: an asr corpus ba...
Cui, Y., Che, W., Liu, T., et al.: Pre-training with whole word masking for Chinese BERT. IEEE/ACM Trans. Audio Speech Lang. Process.29, 3504–3514 (2021) ArticleGoogle Scholar Pang, N., Xiao, W., Zhao, X.: Chinese text classification via bidirectional lattice LSTM. In: Li, ...
In addition, Erilsson et al. showed that immunization via the i.n. route required less antigen and adjuvant than oral immunization[37]. Therefore, in our study i.n. vaccination was performed to ssess the effectiveness of CTA1-DD as a mucosal adjuvant. Our results demonstrated that CTA1-...
In natural language processing (NLP), domain adaptation has traditionally been an important topic for syntactic parsing (McClosky et al., 2010) and named entity recognition (Chiticariu et al., 2010), among others. With the popularity of distributed representation, pre-trained wo...
et al. Domain knowledge-guided intelligent recognition of multi-type potential landslides. Knowledge-Based Systems, 2025, 310: 112979. DOI:10.1016/j.knosys.2025.112979 4. Liu, X., Shao, S., Zhang, C. et al. Landslide susceptibility prediction in the loess tableland considering geomorphic ...
Text mining of the electronic health record: an information extraction approach for automated identification and subphenotyping of HFPEF patients for clinical trials. J. Cardiovasc. Transl. Res. 10, 313–321 (2017). Article Google Scholar Ni, Y. et al. Will they participate? Predicting patients...
Zhang, Y. et al. Trends in diatom research since 1991 based on topic modeling. Microorganisms https://doi.org/10.3390/microorganisms7080213 (2019). Wang, S. H. et al. Text mining for identifying topics in the literatures about adolescent substance use and depression. BMC Public Health 16, ...