Sökning: "SBERT"

Visar resultat 1 - 5 av 11 uppsatser innehållade ordet SBERT.

  1. 1. 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

  3. 2. Evaluating Cold-Start in Recommendation Systems Using a Hybrid Model Based on Factorization Machines and SBERT Embeddings

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

    Författare :Sabrina Chowdhury; [2022]
    Nyckelord :Natural Language Processing; Hybrid Recommender Systems; Cold-Start Problem; språkteknologi; hybrida rekommendationssystem; kallstartsproblemet;

    Sammanfattning : The item cold-start problem, which describes the difficulty of recommendation systems in recommending new items to users, remains a great challenge for recommendation systems that rely on past user-item interaction data. A popular technique in the current research surrounding the cold-start problem is the use of hybrid models that combine two or more recommendation strategies that may contribute with their individual advantages. LÄS MER

  4. 3. Exploring State-of-the-Art Natural Language Processing Models with Regards to Matching Job Adverts and Resumes

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Lise Rückert; Henry Sjögren; [2022]
    Nyckelord :Deep Learning; Natural Language Processing; SBERT; Cosine similarity; Recruitment; Triplet network; Semantic similarity;

    Sammanfattning : The ability to automate the process of comparing and matching resumes with job adverts is a growing research field. This can be done through the use of the machine learning area Natural Language Processing (NLP), which enables a model to learn human language. LÄS MER

  5. 4. Machine learning for detecting fraud in an API

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

    Författare :Anna Sánchez Espunyes; [2022]
    Nyckelord :Fraud detection; Machine learning; Supervised learning; Sentence-BERT; Web API; Bedrägeriupptäckt; Maskininlärning; Övervakad inlärning; Sentence-BERT; Web API;

    Sammanfattning : An Application Programming Interface (API) provides developers with a high-level framework that abstracts the underlying implementation of services. Using an API reduces the time developers spent on implementation, and it encourages collaboration and innovation from third-party developers. LÄS MER

  7. 5. Evaluation of the performance of machine learning techniques for email classification

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

    Författare :Isabella Tapper; [2022]
    Nyckelord :Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

    Sammanfattning : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. LÄS MER