Essays about: "semantic textual similarity"

Showing result 1 - 5 of 6 essays containing the words semantic textual similarity.

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

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Malte Götharsson; Karl Stahre; [2023-09-26]
   Keywords : ;

   Abstract : 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. READ MORE

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

   University essay from Linköpings universitet/Programvara och system

   Author : Simon Boman; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

4. 3. Miljöpartiet and the never-ending nuclear energy debate : A computational rhetorical analysis of Swedish climate policy

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Claire Dickerson; [2022]
   Keywords : Computational linguistics; language technology; natural language processing; NLP; computational rhetoric; topic modeling; semantic textual similarity; STS; political party attribution; SBERT; KB-BERT; machine learning; climate policy; Swedish climate policy;

   Abstract : The domain of rhetoric has changed dramatically since its inception as the art of persuasion. It has adapted to encompass many forms of digital media, including, for example, data visualization and coding as a form of literature, but the approach has frequently been that of an outsider looking in. READ MORE

5. 4. Identifying New Fault Types Using Transformer Embeddings

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

   Author : Mikael Karlsson; [2021]
   Keywords : Transformer Models; Clustering; Embeddings; Deep Learning; Fault Identification; Transformatorbaserade modeller; Klustering; Djupinlärning; Felidentifiering;

   Abstract : Continuous integration/delivery and deployment consist of many automated tests, some of which may fail leading to faulty software. Similar faults may occur in different stages of the software production lifecycle and it is necessary to identify similar faults and cluster them into fault types in order to minimize troubleshooting time. READ MORE

6. 5. SEMI-AUTOMATIC MAPPING OF HETEROGENEOUS PATHOLOGICAL CANCER DATA SOURCES TO HL7FHIR RESOURCES

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Anton Eiserman; [2020]
   Keywords : ;

   Abstract : Heterogeneous health care data sources complicate the distribution of structured information between di‚fferent IT-systems involving cancer care in Sweden. Th‘is causes additional overhead for statisticians and system developers where they need to create tailored solutions for each problem. Th‘ere is a need for standardization of this data. READ MORE