Essays about: "text extraction methods"

Showing result 1 - 5 of 48 essays containing the words text extraction methods.

  1. 1. Exploring GPT models as biomedical knowledge bases : By evaluating prompt methods for extracting information from language models pre-trained on scientific articles

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

    Author : Ebba Hellberg; [2023]
    Keywords : Language model; GPT; knowledge probing; information extraction; prompt methods; Språkmodell; GPT; kunskapsbas; informationsextraktion; prompt-metoder;

    Abstract : Scientific findings recorded in literature help continuously guide scientific advancements, but manual approaches to accessing that knowledge are insufficient due to the sheer quantity of information and data available. Although pre-trained language models are being explored for their utility as knowledge bases and structured data repositories, there is a lack of research for this application in the biomedical domain. READ MORE

  3. 2. 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

  4. 3. 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

  5. 4. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Osama Mahmudi; Shubhra Mishra; [2023]
    Keywords : Adversarial Learning; Motor Imagery; BCI; EEG; Machine Learning;

    Abstract : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. READ MORE

  6. 5. Automated Metadata Extraction for Job Advertisements

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Evelina Strauss; Usama Safdar; [2022-06-20]
    Keywords : Machine learning; NLP; text classification; computer; science; computer science; project; thesis;

    Abstract : This thesis is written in collaboration with the Swedish Public Employment Service and aims to investigate methods and techniques to automatically extract metadata from unstructured texts. The Swedish Public Employment Service collect job ads from different private job boards and these ads consist of a title and description and are thus of an unstructured format. READ MORE