Essays about: "Frågebesvaring"

Found 5 essays containing the word Frågebesvaring.

  1. 1. Synthetic data generation for domain adaptation of a retriever-reader Question Answering system for the Telecom domain : Comparing dense embeddings with BM25 for Open Domain Question Answering

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

    Author : Filip Döringer Kana; [2023]
    Keywords : Natural Language Processing; Transformers; Deep Learning; Question Answering; Data Generation; Språkteknologi; Transformers; Djupinlärning; Frågebesvaring; Datagenerering;

    Abstract : Having computer systems capable of answering questions has been a goal within Natural Language Processing research for many years. Machine Learning systems have recently become increasingly proficient at this task with large language models obtaining state-of-the-art performance. READ MORE

  2. 2. Prompt engineering and its usability to improve modern psychology chatbots

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

    Author : Isak Nordgren; Gustaf E. Svensson; [2023]
    Keywords : Large Language Models; LLM; GPT; GPT-3.5; GPT-4; chatbots; psychology; prompt engineering;

    Abstract : As advancements in chatbots and Large Language Models (LLMs) such as GPT-3.5 and GPT-4 continue, their applications in diverse fields, including psychology, expand. This study investigates the effectiveness of LLMs optimized through prompt engineering, aiming to enhance their performance in psychological applications. READ MORE

  3. 3. Investigating the Effect of Complementary Information Stored in Multiple Languages on Question Answering Performance : A Study of the Multilingual-T5 for Extractive Question Answering

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

    Author : Björn Aurell Hansson; [2021]
    Keywords : Machine learning; Transformers; multilingual-T5; question answering; NLP; Maskininlärning; transformatormodeller; frågeställning; naturlig språkbehandling.;

    Abstract : Extractive question answering is a popular domain in the field of natural language processing, where machine learning models are tasked with answering questions given a context. Historically the field has been centered on monolingual models, but recently more and more multilingual models have been developed, such as Google’s MT5 [1]. READ MORE

  4. 4. Bidirectional Encoder Representations from Transformers (BERT) for Question Answering in the Telecom Domain. : Adapting a BERT-like language model to the telecom domain using the ELECTRA pre-training approach

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

    Author : Henrik Holm; [2021]
    Keywords : Deep Learning; Natural Language Understanding; Transformers; Language Models; Representation Learning; Domain Adaption; Representationsinlärning; Djupinlärning; Språkteknologi; Transformatorer; Språkmodeller; Domänanpassning;

    Abstract : The Natural Language Processing (NLP) research area has seen notable advancements in recent years, one being the ELECTRA model which improves the sample efficiency of BERT pre-training by introducing a discriminative pre-training approach. Most publicly available language models are trained on general-domain datasets. READ MORE

  5. 5. A Method for Automatic Question Answering in Swedish based on BERT

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

    Author : Tove Tengvall; [2020]
    Keywords : ;

    Abstract : This report presents a method for doing automatic reading comprehension in Swedish. The method is based on BERT, a pre-trained Swedish neuralnetwork language model, which was fine-tuned on a Swedish question-answer corpus. READ MORE