Essays about: "Text Prediction"

Showing result 21 - 25 of 69 essays containing the words Text Prediction.

1. 21. Medical image captioning based on Deep Architectures

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Georgios Moschovis; [2022]
   Keywords : Artificial Neural Networks; Deep Learning; Speech and language technology; Natural Language Processing NLP ; Deep networks; Generative deep networks; Convolutional neural networks CNN ; Text generation; Information retrieval; Diagnostic captioning; Image captioning; concept prediction; classification; image encoders; transformers; Encoder-Decoder architecture; abstractive summarization; Neurala nätverk; Djup inlärning; Tal-och språkteknologi; naturlig språkbehandling; djup neurala nätverk; generativa djupa nätverk; konvolutionella neurala nätverk; Textgenerering; Informationssökning; Diagnostisk textning; Bildtextning; konceptförutsägelse; klassificering; bildkodare; transformatorer; kodaravkodararkitektur; abstrakt sammanfattning;

   Abstract : Diagnostic Captioning is described as “the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination” [59] and it can assist inexperienced doctors and radiologists to reduce clinical errors or help experienced professionals increase their productivity. In this context, tools that would help medical doctors produce higher quality reports in less time could be of high interest for medical imaging departments, as well as significantly impact deep learning research within the biomedical domain, which makes it particularly interesting for people involved in industry and researchers all along. READ MORE

3. 22. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Núria Casals; [2021]
   Keywords : Semi-Supervised Learning; Data Augmentation; Sentiment Classification; Neural Paraphrasing; Semi-övervakad inlärning; Data förändring; Sentimentklassificering; Neural parafrasering;

   Abstract : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. READ MORE

4. 23. Multi-task regression QSAR/QSPR prediction utilizing text-based Transformer Neural Network and single-task using feature-based models

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Spyridon Dimitriadis; [2021]
   Keywords : multi-task regression; QSAR; QSPR; deep learning; attention based models; transfer learning;

   Abstract : With the recent advantages of machine learning in cheminformatics, the drug discovery process has been accelerated; providing a high impact in the field of medicine and public health. Molecular property and activity prediction are key elements in the early stages of drug discovery by helping prioritize the experiments and reduce the experimental work. READ MORE

5. 24. Explainable Antibiotics Prescriptions in NLP with Transformer Models

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Omar Emilio Contreras Zaragoza; [2021]
   Keywords : Transformer models; NLP; Explainable AI; Medical domain; Antibiotics prescription; SHAP; Integrated Gradients; Transformatormodeller; NLP; förklarbar AI; medicinsk domän; antibiotikarecept; SHAP; Integrated Gradients;

   Abstract : The overprescription of antibiotics has resulted in bacteria resistance, which is considered a global threat to global health. Deciding if antibiotics should be prescribed or not from individual visits of patients’ medical records in Swedish can be considered a text classification task, one of the applications of Natural Language Processing (NLP). READ MORE

6. 25. Text Block Prediction and Article Reconstruction Using BERT

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Andreas Estmark; [2021]
   Keywords : ;

   Abstract : Kungliga biblioteket (National Library of Sweden, KB) uses Optical Character Recognition (OCR) engines to extract and segment texts from their archive of daily newspaper articles. These systems are good at extracting and segmenting text on the paragraph level and lower (i.e. READ MORE