Sökning: "automatic text summaries"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden automatic text summaries.

  1. 1. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries

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

    Författare :Celine Helgesson Hallström; [2023]
    Nyckelord :Natural Language Processing; Large Language Models; Automatic Text Evaluation; Text Summarization; Multilingualism; Naturlig Språkbehandling; Stora Språkmodeller; Automatisk Textutvärdering; Textsammanfattning; Flerspråkighet;

    Sammanfattning : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. LÄS MER

  3. 2. A comparative study of automatic text summarization using human evaluation and automatic measures

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Maja Wennstig; [2023]
    Nyckelord :Extractive summarization; Abstractive summarization; Hybrid summarization; Automatic text summarization;

    Sammanfattning : Automatic text summarization has emerged as a promising solution to manage the vast amount of information available on the internet, enabling a wider audience to access it. Nevertheless, further development and experimentation with different approaches are still needed. LÄS MER

  4. 3. Evaluating Text Summarization Models on Resumes : Investigating the Quality of Generated Resume Summaries and their Suitability as Resume Introductions

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

    Författare :Amanda Krohn; [2023]
    Nyckelord :Natural language processing; Abstractive text summarization; Transformer architecture; Fine-tuning; Resumes; Språkteknologi; Abstrakt textsammanfattning; Transformer-arkitektur; Finjustering; CV;

    Sammanfattning : This thesis aims to evaluate different abstractive text summarization models and techniques for summarizing resumes. It has two main objectives: investigate the models’ performance on resume summarization and assess the suitability of the generated summaries as resume introductions. LÄS MER

  5. 4. Methods for increasing cohesion in automatically extracted summaries of Swedish news articles : Using and extending multilingual sentence transformers in the data-processing stage of training BERT models for extractive text summarization

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Elsa Andersson; [2022]
    Nyckelord :NLP; automatic text summarization; extractive summarization; BERT; sentence embeddings; cohesion;

    Sammanfattning : Developments in deep learning and machine learning overall has created a plethora of opportunities for easier training of automatic text summarization (ATS) models for producing summaries with higher quality. ATS can be split into extractive and abstractive tasks; extractive models extract sentences from the original text to create summaries. LÄS MER

  7. 5. Extractive Text Summarization of Norwegian News Articles Using BERT

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Thomas Indrias Biniam; Adam Morén; [2021]
    Nyckelord :extractive text summarization; NLP; deep learning; BERT; BERTSum; Multilingual BERT; Norwegian BERT; transformer; Norwegian; news articles;

    Sammanfattning : Extractive text summarization has over the years been an important research area in Natural Language Processing. Numerous methods have been proposed for extracting information from text documents. Recent works have shown great success for English summarization tasks by fine-tuning the language model BERT using large summarization datasets. LÄS MER