Sökning: "automatic extraction"

Visar resultat 1 - 5 av 140 uppsatser innehållade orden automatic extraction.

  1. 1. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers

    Master-uppsats, SLU/Dept. of Animal Nutrition and Management

    Författare :Emelie Ahlberg; [2024]
    Nyckelord :body measurement; body weight; growth; heifer; three-dimensional imaging; young stock management;

    Sammanfattning : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. LÄS MER

  3. 2. Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers

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

    Författare :Sandra Henningsson; Brage Stranden Lae; [2023-11-09]
    Nyckelord :NLP; Transformers; CRISPR; semantic search; keyphrase extraction;

    Sammanfattning : The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using transfer learning and pre-trained models based on the Transformer architecture. LÄS MER

  4. 3. Automatic Semantic Role Labelling (SRL) in Swedish

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

    Författare :Lucy Yang Buhr; [2023-10-05]
    Nyckelord :Semantic role labelling; SRL; transfer learning; multi-task learning; multilingual transfer; T5; mT5;

    Sammanfattning : In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger identification, frame classification and argument extraction tasks automatically in a series. LÄS MER

  5. 4. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development

    Uppsats för yrkesexamina på grundnivå, Försvarshögskolan

    Författare :Carl Zaff; [2023]
    Nyckelord :Russian Equipment loss; Russo-Ukrainian War; Method development; Machine learning; Tesseract OCR; Oryxspioenkop; OSINT; Ryssland; Materielförlust; Rysk-ukrainska kriget; Metodutveckling; Maskininlärning; Tesseract OCR; Oryxspioenkop; OSINT;

    Sammanfattning : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. LÄS MER

  7. 5. Automatic Extraction of Financial Data in Credit Rating Analysis

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

    Författare :Robert Minasyan; Pim Erlandsson; [2023]
    Nyckelord :automatic data extraction; financial reports; XBRL; Arelle; credit rating analysis; automatisk dataextraktion; finansiella rapporter; XBRL; Arelle; kreditvärderingsanalys;

    Sammanfattning : With the increasing use of big data and automatization, financial data extraction is of growing importance in the financial industry. The thesis examines how an extraction system can be developed for extracting relevant data for credit rating analysis. LÄS MER