Essays about: "information extraction. transformer"
Showing result 1 - 5 of 7 essays containing the words information extraction. transformer.
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1. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE
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2. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning
University essay from Linköpings universitet/DatorseendeAbstract : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. READ MORE
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3. Exploring GPT models as biomedical knowledge bases : By evaluating prompt methods for extracting information from language models pre-trained on scientific articles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Scientific findings recorded in literature help continuously guide scientific advancements, but manual approaches to accessing that knowledge are insufficient due to the sheer quantity of information and data available. Although pre-trained language models are being explored for their utility as knowledge bases and structured data repositories, there is a lack of research for this application in the biomedical domain. READ MORE
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4. Multilingual Transformer Models for Maltese Named Entity Recognition
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The recently developed state-of-the-art models for Named Entity Recognition are heavily dependent upon huge amounts of available annotated data. Consequently, it is extremely challenging for data-scarce languages to obtain significant result. READ MORE
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5. Pre-training a knowledge enhanced model in biomedical domain for information extraction
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : While recent years have seen a rise of research in knowledge graph enrichedpre-trained language models(PLM), few studies have tried to transfer the work to the biomedical domain. This thesis is a first attempt to pre-train a large-scalebiological knowledge enriched language model (KPLM). Under the frameworkof CoLAKE (T. Sun et al. READ MORE
