Essays about: "Utan text"

Showing result 1 - 5 of 126 essays containing the words Utan text.

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

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

    Author : Shweta Misra; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  2. 2. Mobile phones and attention : An experimental study examining mobile phone distraction

    University essay from Luleå tekniska universitet/Institutionen för hälsa, lärande och teknik

    Author : Moa Taube; Linda Åkerlund; [2023]
    Keywords : attention; distraction; mobile phone; working memory; uppmärksamhet; distraktion; mobiltelefon; arbetsminne;

    Abstract : Mobile phones have become a natural part in our lives and with them, challenges and concerns rise. Mobile phones are designed to catch our attention, which equals unwanted distractions in many situations. Previous research is ambiguous as to in what situations mobile phones harm our attention and cause distraction. READ MORE

  3. 3. Efficient Sentiment Analysis and Topic Modeling in NLP using Knowledge Distillation and Transfer Learning

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

    Author : George Malki; [2023]
    Keywords : Large Language Model; RoBERTa; Knowledge distillation; Transfer learning; Sentiment analysis; Topic modeling; Stor språkmodell; RoBERTa; Kunskapsdestillation; överföringsinlärning; Sentimentanalys; Ämnesmodellering;

    Abstract : This abstract presents a study in which knowledge distillation techniques were applied to a Large Language Model (LLM) to create smaller, more efficient models without sacrificing performance. Three configurations of the RoBERTa model were selected as ”student” models to gain knowledge from a pre-trained ”teacher” model. READ MORE

  4. 4. Contextual short-term memory for LLM-based chatbot

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

    Author : Mikael Lauri Aleksi Törnwall; [2023]
    Keywords : Chatbot; Artificial Intelligence; Machine Learning; Language Model; Large Language Model; GPT-3; Natural Language Processing; Text Summarization; Dialogue Summarization; Prompt Design; Prompt Programming; Chatbot; Artificiell Intelligens; Maskininlärning; Språkmodell; Stor Språkmodell; GPT-3; Naturlig Ppråkbehandling; Textsammanfattning; Sammanfattning av Dialog; Design för Inmatningsprompt; Inmatningsprompt Programmering;

    Abstract : The evolution of Language Models (LMs) has enabled building chatbot systems that are capable of human-like dialogues without the need for fine-tuning the chatbot for a specific task. LMs are stateless, which means that a LM-based chatbot does not have a recollection of the past conversation unless it is explicitly included in the input prompt. READ MORE

  5. 5. Energy Poverty: Geospatial Modelling in 2021 Berlin using publicly available data : KTH Thesis Report

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Rita Aparici Quiñones; [2023]
    Keywords : ;

    Abstract : Energy services are essential for human development and well-being, and the unequal distribution of them leads to inequalities and vulnerabilities. Energy poverty, generally understood as the inability to heat a household, is an increasingly pressing issue that in the context of political and climatic instabilities could affect more and more households. READ MORE