Essays about: "Behandling av naturligt språk"
Showing result 1 - 5 of 12 essays containing the words Behandling av naturligt språk.
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1. A Prompting Framework for Natural Language Processing in the Medical Field : Assessing the Potential of Large Language Models for Swedish Healthcare
University essay from KTH/Medicinteknik och hälsosystemAbstract : The increasing digitisation of healthcare through the use of technology and artificial intelligence has affected the medical field in a multitude of ways. Generative Pre-trained Transformers (GPTs) is a collection of language models that have been trained on an extensive data set to generate human-like text and have been shown to achieve a strong understanding of natural language. READ MORE
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2. Information Extraction from Invoices using Graph Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Information Extraction is a sub-field of Natural Language Processing that aims to extract structured data from unstructured sources. With the progress in digitization, extracting key information like account number, gross amount, etc. from business invoices becomes an interesting problem in both industry and academy. READ MORE
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3. An Arrow Metalanguage for Partially Invertible Computation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Programming languages traditionally describe computations going one way: a program might compute a hash value from a string, or an encrypted message from a plaintext. However, sometimes it is also of interest to go the other way around: for encryption, we not only want to encrypt messages but also to decrypt them, and to be sure that the decryption correctly reproduces the original message. READ MORE
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4. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE
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5. Root Cause Analysis and Classification for Firewall Log Events Using NLP Methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Network log records are robust evidence for enterprises to make error diagnoses. The current method of Ericsson’s Networks team for troubleshooting is mainly by manual observation. However, as the system is getting vast and complex, the log messages show a growth trend. READ MORE