Essays about: "document embedding"

Showing result 1 - 5 of 14 essays containing the words document embedding.

  1. 1. Natural Language Processing for Improving Search Query Results : Applied on The Swedish Armed Force's Profession Guide

    University essay from Uppsala universitet/Datalogi

    Author : Andreas Harju Schnee; [2023]
    Keywords : natural language processing; NLP; maskininlärning; ML; artificiell intelligens; AI; language model; information retrieval system; document embedding; text representation; text data augmentation;

    Abstract : Text has been the historical way of preserving and acquiring knowledge, and text data today is an increasingly growing part of the digital footprint together with the need to query this data for information. Seeking information is a constant ongoing process, and is a crucial part of many systems all around us. READ MORE

  3. 2. Distilling Multilingual Transformer Models for Efficient Document Retrieval : Distilling multi-Transformer models with distillation losses involving multi-Transformer interactions

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

    Author : Xuecong Liu; [2022]
    Keywords : Dense Passage Retrieval; Knowledge Distillation; Multilingual Transformer; Document Retrieval; Open Domain Question Answering; Tät textavsnittssökning; kunskapsdestillering; flerspråkiga transformatorer; dokumentsökning; domänlöst frågebesvarande;

    Abstract : Open Domain Question Answering (OpenQA) is a task concerning automatically finding answers to a query from a given set of documents. Language-agnostic OpenQA is an increasingly important research area in the globalised world, where the answers can be in a different language from the question. 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. Applying Natural Language Processing to document classification

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

    Author : David Kragbé; [2022]
    Keywords : Natural Language Processing; Document Classification; Embeddings; Classifiers; Naturlig Språkbehandling; Dokumentklassificering; Inbäddningar; Klassificerare;

    Abstract : In today's digital world, we produce and use more electronic documents than ever before. And this trend is far from slowing down. Particularly, more and more companies and businesses now need to treat a considerable amount of documents to deal with their clients' requests. READ MORE

  6. 5. The diffusion of biogas technologies in the Brazilian context : A comparative case study in two Brazilian states

    University essay from Linköpings universitet/Industriell miljöteknik

    Author : Hanna Guimarães Zanatta; [2020]
    Keywords : biogas technologies; diffusion; socio-technical systems; technological innovation systems; societal embedding; diffusion of innovation;

    Abstract : Brazil is one of the largest biomass producers in the world, thus it has a huge potential for biogas production across all its territory. Nowadays, biogas production remains largely unexplored, representing just a small fraction of its potential. READ MORE