Sökning: "Automatic labelling"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Automatic labelling.

  1. 1. Automatic Semantic Role Labelling (SRL) in Swedish

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Lucy Yang Buhr; [2023-10-05]
    Nyckelord :Semantic role labelling; SRL; transfer learning; multi-task learning; multilingual transfer; T5; mT5;

    Sammanfattning : In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger identification, frame classification and argument extraction tasks automatically in a series. LÄS MER

  3. 2. Monolingual and Cross-Lingual Survey Response Annotation

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Yahui Zhao; [2023]
    Nyckelord :transfer learning; zero-shot cross-lingual transfer; model-based transfer; multilingual pre-trained language models; sequence labeling; open-ended questions; democracy;

    Sammanfattning : Multilingual natural language processing (NLP) is increasingly recognized for its potential in processing diverse text-type data, including those from social media, reviews, and technical reports. Multilingual language models like mBERT and XLM-RoBERTa (XLM-R) play a pivotal role in multilingual NLP. LÄS MER

  4. 3. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

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

    Författare :Fehmi Ayberk Uçkun; [2023]
    Nyckelord :3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

    Sammanfattning : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. LÄS MER

  5. 4. Automatic Classification of Conditions for Grants in Appropriation Directions of Government Agencies

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Emma Wallerö; [2022]
    Nyckelord :Text classification; annotation; SVM; BiLSTM; Transformers; BERT; Textklassificering; annotering; annotation; SVM; BiLSTM; Transformers; BERT;

    Sammanfattning : This study explores the possibilities of classifying language as governing or not. The ground premise is to examine how detecting and quantifying governing conditions from thousands of financial grants in appropriation directions can be performed automatically, as well as creating a data set to perform machine learning for this text classification task. LÄS MER

  7. 5. DeepMACSS : Deep Modular Analyzer for Creating Semantics and generate code from Sketch

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :David Eriksson; [2022]
    Nyckelord :Artificial Intelligence; Deep learning; Machine learning; Code generation; Automation;

    Sammanfattning : Scientific areas such as artificial intelligence have exploded in popularity and more advanced techniques such as deep learning has been applied in various areas in order to automate tasks. As many software developers know creating prototypes can both be daunting and very time consuming. LÄS MER