Essays about: "Visually Rich Documents"

Found 4 essays containing the words Visually Rich Documents.

  1. 1. Graph Attention Networks for Link Prediction in Semantic Word Grouping

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Anton Gollbo; [2023]
    Keywords : ;

    Abstract : Manually extracting relevant information from extensive amounts of data can betime-consuming and labour-intensive. Automating this process can allow for a shift of focus toward analysis and utilization of the extracted information, rather than allocating time and resources to data collection and preparation. READ MORE

  3. 2. Classification of invoices using a 2D NLP approach : A comparison between methods for invoice information extraction for the purpose of classification

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

    Author : Linnéa Fredriksson; [2023]
    Keywords : Key-field extraction; Invoices; 2D NLP; Document Intelligence; Visually Rich Documents; LayoutLMv3; Nyckelfältsextraktion; Fakturor; 2-dimensionell naturligtspråkbehandling; LayoutLMv3;

    Abstract : Many companies are handling a large number of invoices every year. To manually categorize them takes a lot of time and resources. For a model to automatically categorize invoices, the documents need to be properly read and processed by the model. READ MORE

  4. 3. Data Collection and Layout Analysis on Visually Rich Documents using Multi-Modular Deep Learning.

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

    Author : Mattias Stahre; [2022]
    Keywords : DeepLearning; Machine Learning; Dataset Collection; Annotation; Labeling; Transformer Network; Multi-Modal; Computer Vision; Natural Language Processing; Embedding; LayoutLMv2; DocBank; Djupinlärning; Maskininlärning; Datasamling; Annotering; Märkning; Transformernätverk; Multi-modulär; Datorsyn; Naturlig Språkbehandling; Inbäddning; LayoutLMv2; DocBank;

    Abstract : The use of Deep Learning methods for Document Understanding has been embraced by the research community in recent years. A requirement for Deep Learning methods and especially Transformer Networks, is access to large datasets. READ MORE

  5. 4. Multimodal Convolutional Graph Neural Networks for Information Extraction from Visually Rich Documents

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Kevin Ajamlou; Max Sonebäck; [2021]
    Keywords : ;

    Abstract : Monotonous and repetitive tasks consume a lot of time and resources in businesses today and the incentive to fully or partially automate said tasks, in order to relieve office workers and increase productivity in the industry, is therefore high. One such task is to process and extract information from Visually Rich Documents (VRD:s), e.g. READ MORE