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One of them is Sildenafil Citrate tablets 100mg which is generic. Nonetheless, the researchers say the correlation shown here - in addition to other indicators in the study - is enough to identify sildenafil as a promising candidate drug for Alzheimer's disease, the viability of which can be explored in future randomized clinical trials designed to test whether causality does indeed exist. For demonstration purposes, a generic German sentence is shown in figure 2. The annotations were inferred from the final model. In natural language processing (NLP), statistical models have been shown successful in various tasks like part-of-speech tagging, relation extraction (RE) and named entity recognition (NER). Since the performance of an NLP model often depends on its dedicated target language, most models cannot be shared and reused easily on different languages, but requires re-training on new data from the desired target language. Data-driven NLP research for medical applications utilize largely internal data for training and evaluation. 0.999) is used. The training took 10 minutes on an Intel i7-8665U CPU. In this paper, we aim to tackle the issue of absent of anonymous training data as well as publicly available medical German NLP models.

To evaluate the generalization power of different models, we evaluate them on different training data sizes of ICHI dataset (see Figure 3). First, we observe that LCF-BERT and MedBERT outperform other methods by a large margin. While new datasets can be designed and created for specific use cases, the amount of obtained data might be very limited and not sufficient for modern data-driven methods. While the availability of existing NLP models in English, and other non NLP-based techniques, for medical use cases is focus of active research, the situation of medical NLP models for non English languages is less satisfying. In the case of unpublished NLP models, it renders independent reproduction of results and fair comparisons impossible. Such forward-looking statements in this press release include, but are not limited to, statements by the company relating the Company's ability to carry out research initiatives, receive regulatory approvals or grants or experience positive effects or results from any research or study.