Sökning: "Summarization"

Visar resultat 21 - 25 av 76 uppsatser innehållade ordet Summarization.

  1. 21. Transformer-based Source Code Description Generation : An ensemble learning-based approach

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

    Författare :Mantzaris Antonios; [2022]
    Nyckelord :Natural Language Processing; Code Summarization; Transformers; Text Generation; Ensemble Learning; BLEU; Naturlig språkbehandling; Kodsammanfattning; Transformatorer; Textgenerering; Ensemble Lärande; BLEU;

    Sammanfattning : Code comprehension can be significantly benefited from high-level source code summaries. For the majority of the developers, understanding another developer’s code or code that was written in the past by them, is a timeconsuming and frustrating task. LÄS MER

  3. 22. Towards the creation of a Clinical Summarizer

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Axel Gunnarsson; [2022]
    Nyckelord :NLP; BERT; summarization; extractive summarization; medical records;

    Sammanfattning : While Electronic Medical Records provide extensive information about patients, the vast amounts of data cause issues in attempts to quickly retrieve valuable information needed to make accurate assumptions and decisions directly concerned with patients’ health. This search process is naturally time-consuming and forces health professionals to focus on a labor intensive task that diverts their attention from the main task of applying their knowledge to save lives. LÄS MER

  4. 23. 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

  5. 24. Summarization and keyword extraction on customer feedback data : Comparing different unsupervised methods for extracting trends and insight from text

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Therése Skoghäll; David Öhman; [2022]
    Nyckelord :Unsupervised learning; Natural Language Processing; Text Summarization; Keyword Extraction; K-means; YAKE!; BERT;

    Sammanfattning : Polestar has during the last couple of months more than doubled its amount of customer feedback, and the forecast for the future is that this amount will increase even more. Manually reading this feedback is expensive and time-consuming, and for this reason there's a need to automatically analyse the customer feedback. LÄS MER

  7. 25. Improving information gathering for IT experts. : Combining text summarization and individualized information recommendation.

    Master-uppsats, Karlstads universitet/Avdelningen för datavetenskap; Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Anton Bergenudd; [2022]
    Nyckelord :Text summarization; information gathering; individualization; topic modelling; natural language processes; profiling.;

    Sammanfattning : Information gathering and information overload is an ever growing topic of concernfor Information Technology (IT) experts. The amount of information dealt withon an everyday basis is large enough to take up valuable time having to scatterthrough it all to find the relevant information. LÄS MER