Sökning: "Semantic Similarity"

Visar resultat 1 - 5 av 65 uppsatser innehållade orden Semantic Similarity.

1. 1. A Case Study on the Limitations of Automated Duplicate Bug Report Detection

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Malte Götharsson; Karl Stahre; [2023-09-26]
   Nyckelord :;

   Sammanfattning : Identifying duplicate bug reports is crucial in software development as it helps streamline the debugging process, reduce redundancy, and enhance overall efficiency. By addressing the challenges associated with existing automated techniques and leveraging testers’ expertise, the tool proposed in this study aims to improve the accuracy of duplicate detection, saving valuable time and resources while ensuring that potential duplicates are not overlooked. LÄS MER

3. 2. Improving customer support efficiency through decision support powered by machine learning

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Simon Boman; [2023]
   Nyckelord :Machine Learning; AI; NLP; Natural Language Processing; GPT-3; GPT-4; Recommendation System; Decision Support; Semantic Textual Similarity; Text Similarity; Customer Support Tickets; Case Study; Customer Support Efficiency; Healthcare; Medical Technology;

   Sammanfattning : More and more aspects of today’s healthcare are becoming integrated with medical technology and dependent on medical IT systems, which consequently puts stricter re-quirements on the companies delivering these solutions. As a result, companies delivering medical technology solutions need to spend a lot of resources maintaining high-quality, responsive customer support. LÄS MER

4. 3. Metod för ett automatiserat frågebesvarande i det svenska språket

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Kristian Penna; [2023]
   Nyckelord :question answering; natural language processing; artificial intelligence; machine learning; deep learning; artificial neural networks; transformer; BERT; sentence transformers; semantic textual similarity; frågebesvarande; språkteknologi; artificiell intelligens; maskininlärning; djupinlärning; artificiella neurala nätverk; transformer; BERT; sentence transformers; semantisk textlikhet;

   Sammanfattning : I ärendehanteringssystem utgör avslutade ärenden en värdefull datamängd bestående av par av frågor och svar som organisationer med rätt metoder kan dra nytta av för att utvinna fördelar. I denna studie har en Sentence Transformers-modell blivit finjusterad för question answering som tillsammans med en datamängd från ett ärendehanteringssystem automatiskt kan besvara organisationsspecifika frågor i det svenska språket. LÄS MER

5. 4. Optic nerve sheath diameter semantic segmentation and feature extraction

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Simone Bonato; [2023]
   Nyckelord :Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

   Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER

7. 5. Automated Extraction of Insurance Policy Information : Natural Language Processing techniques to automate the process of extracting information about the insurance coverage from unstructured insurance policy documents.

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

   Författare :Jacob Hedberg; Erik Furberg; [2023]
   Nyckelord :NLP; SBERT; AI; Insurance; Semantic similarity;

   Sammanfattning : This thesis investigates Natural Language Processing (NLP) techniques to extract relevant information from long and unstructured insurance policy documents. The goal is to reduce the amount of time required by readers to understand the coverage within the documents. LÄS MER