Sökning: "target domains"

Visar resultat 1 - 5 av 83 uppsatser innehållade orden target domains.

  1. 1. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Yiu Kei Tang; [2023]
    Nyckelord :;

    Sammanfattning : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. LÄS MER

  3. 2. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing

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

    Författare :Fredrik Ohlson; [2023]
    Nyckelord :Tactical sensor systems; Sensor fusion; Model based diagnostics; Hypothesis testing; Taktiska sensor system; Sensor fusion; Modellbaserad diagnostisering; Hypotesprövning;

    Sammanfattning : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. LÄS MER

  4. 3. Characterization of Antigenic Properties of Two Immunogenic Proteins of Streptococcus pneumoniae 

    Master-uppsats, Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologi

    Författare :Mawj Jasimalsalih; [2023]
    Nyckelord :Immunogenic Proteins; PrsA; MalX; Membrane Vesicles; Protein Properties; Streptococcus pneumoniae virulence factors;

    Sammanfattning : The bacterium Streptococcus pneumoniae (pneumococcus), is considered to be a leading cause of morbidity and mortality globally, particularly in infants and the elderly. It is one of the most frequent causes of respiratory tract infections, which sporadically have the potential to develop into serious invasive symptoms including sepsis and meningitis. LÄS MER

  5. 4. Head-to-head Transfer Learning Comparisons made Possible : A Comparative Study of Transfer Learning Methods for Neural Machine Translation of the Baltic Languages

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Mathias Stenlund; [2023]
    Nyckelord :machine translation; transfer learning; Latvian; Lithuanian; low-resource languages; transformers; parent language; child language; comparative study;

    Sammanfattning : The struggle of training adequate MT models using data-hungry NMT frameworks for low-resource language pairs has created a need to alleviate the scarcity of sufficiently large parallel corpora. Different transfer learning methods have been introduced as possible solutions to this problem, where a new model for a target task is initialized using parameters learned from some other high-resource task. LÄS MER

  7. 5. Thesis on Entrepreneurship Perceptions and Inclinations among Students : A Comparative Study Across Multiple Disciplines

    Magister-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Raja Urabi; Julia Harryson; [2023]
    Nyckelord :Entrepreneurship; opportunity identification; university majors; education; entrepreneurship education; inductive study; entrepreneurial venture; entrepreneurial endeavour; entrepreneurial exposure; entrepreneurial mindset;

    Sammanfattning : This study explores the internal and external views of entrepreneurship among students from various fields of study, including medicine, law, business, engineering and humanities. It investigates the likelihood of students engaging in entrepreneurial activities within their respective fields and identifies target groups with less positive perceptions and lower inclinations towards entrepreneurship. LÄS MER