Sökning: "Bert Man"

Visar resultat 1 - 5 av 30 uppsatser innehållade orden Bert Man.

  1. 1. Nested Noun Phrase Detection in English Text with BERT

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

    Författare :Shweta Misra; [2023]
    Nyckelord :Phrase detection; nested noun phrase identification; phrase structure identification; sentence parsing; transformer models; machine learning; natural language processing; Frasdetektering; kapslad substantivfrasidentifiering; frasstrukturidentifiering; meningsanalys; transformers-modeller; maskininlärning; naturlig språkbehandling;

    Sammanfattning : In this project, we address the task of nested noun phrase identification in English sentences, where a phrase is defined as a group of words functioning as one unit in a sentence. Prior research has extensively explored the identification of various phrases for language understanding and text generation tasks. LÄS MER

  2. 2. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

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

    Författare :Luciano Zapata; [2023]
    Nyckelord :Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

    Sammanfattning : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. LÄS MER

  3. 3. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

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

    Författare :Kevin Huang; [2023]
    Nyckelord :Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

    Sammanfattning : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. LÄS MER

  4. 4. Neural Cleaning of Swedish Textual Data : Using BERT-based methods for Token Classification of Running and Non-Running Text

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

    Författare :Andreas Ericsson; [2023]
    Nyckelord :Natural Language Processing; Text Cleaning; Transformers; BERT; Token Classification; Deep Learning; Språkteknologi; Textrensning; Transformers; BERT; Token-klassificering; Djupinlärning;

    Sammanfattning : Modern natural language processing methods requires big textual datasets to function well. A common method is to scrape the internet to acquire the needed data. This does, however, come with the issue that some of the data may be unwanted – for instance, spam websites. LÄS MER

  5. 5. Svensk 1990-tals politik med Ny Demokrati : Ett ideologiskt parti av sin tid eller en anomali?

    Master-uppsats, Umeå universitet/Institutionen för idé- och samhällsstudier

    Författare :Mats Bergenfors; [2023]
    Nyckelord :Sweden; New Democracy; populism; ideology; political history; 1991 Swedish election; Swedish political parties; Swedish politics;

    Sammanfattning : The overall aim with this study is to understand how and why the political environment in Sweden changed so drastically during the first years of the 1990s. The political mayfly New Democracy took office in the Swedish parliament in 1991 to 1994. At the time they were branded as a rightwing, xenophobic populist party. LÄS MER