Sökning: "Bert lstm"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Bert lstm.

  1. 1. Detection of insurance fraud using NLP and ML

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Rasmus Bäcklund; Hampus Öhman; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. LÄS MER

  3. 2. Classifying personal data on contextual information

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

    Författare :Carl Dath; [2023]
    Nyckelord :Natural Language Processing; Machine Learning; Word2Vec; GloVe; BERT; Personal Data classification; Språkteknologi; Maskininlärning; Personlig Data Klassificering;

    Sammanfattning : In this thesis, a novel approach to classifying personal data is tested. Previous personal data classification models read the personal data before classifying it. However, this thesis instead investigates an approach to classify personal data by looking at contextual information frequently available in data sets. LÄS MER

  4. 3. Compressing Deep Learning models for Natural Language Understanding

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

    Författare :Nadir Ait Lahmouch; [2022]
    Nyckelord :Natural Language Processing; Deep learning; BERT; Knowledge Distillation; Pruning.;

    Sammanfattning : Uppgifter för behandling av naturliga språk (NLP) har under de senaste åren visat sig vara särskilt effektiva när man använder förtränade språkmodeller som BERT. Det enorma kravet på datorresurser som krävs för att träna sådana modeller gör det dock svårt att använda dem i verkligheten. LÄS MER

  5. 4. Chinese Zero Pronoun Resolution with Neural Networks

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

    Författare :Yifan Yang; [2022]
    Nyckelord :zero pronoun; zero pronoun resolution; chinese zero pronoun; machine translation; neural network;

    Sammanfattning : In this thesis, I explored several neural network-based models to resolve the issues of zero pronoun in Chinese English translation tasks. I reviewed previous work that attempts to take the resolution as a classification task, such as determining if a candidate in a given set is the antecedent of a zero pronoun, which can be categorized as rule-based and supervised methods. LÄS MER

  7. 5. Classification of Transcribed Voice Recordings : Determining the Claim Type of Recordings Submitted by Swedish Insurance Clients

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

    Författare :Carl Piehl; [2021]
    Nyckelord :Text Classification; Word embeddings; BERT; LSTM; Cost-sensitive learning; Focal loss; Textklassificering; Ordinbäddningar; BERT; LSTM; Kostnadskänslig inlärning; Fokal förlustfunktion;

    Sammanfattning : In this thesis, we investigate the problem of building a text classifier for transcribed voice recordings submitted by insurance clients. We compare different models in the context of two tasks. The first is a binary classification problem, where the models are tasked with determining if a transcript belongs to a particular type or not. LÄS MER