Essays about: "Språkteknologi"

Showing result 1 - 5 of 43 essays containing the word Språkteknologi.

  1. 1. Federated Learning for Natural Language Processing using Transformers

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

    Author : Gustav Kjellberg; [2022]
    Keywords : Machine Learning; Federated Learning; Distributed Machine Learning; Natural Language Processing; BERT; ALBERT; Transformers; Data Privacy.; Maskininlärning; Federerad inlärning; Distribuerad Maskininlärning; Språkteknologi; BERT; ALBERT; Transformers; Dataintegritet.;

    Abstract : The use of Machine Learning (ML) in business has increased significantly over the past years. Creating high quality and robust models requires a lot of data, which is at times infeasible to obtain. As more people are becoming concerned about their data being misused, data privacy is increasingly strengthened. READ MORE

  2. 2. Coreference Resolution for Swedish

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

    Author : Lisa Vällfors; [2022]
    Keywords : Natural language processing; Information extraction; Machine learning; Random forests; Coreference resolution; Språkteknologi; informationsextraktion; maskininlärning; beslutsträdsinlärning; koreferenslösning;

    Abstract : This report explores possible avenues for developing coreference resolution methods for Swedish. Coreference resolution is an important topic within natural language processing, as it is used as a preprocessing step in various information extraction tasks. READ MORE

  3. 3. Synthetic Data Generation Using Transformer Networks

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

    Author : Pedro Campos; [2021]
    Keywords : Transformer; Synthetic Data; Text Generation; Deep Learning; Tabular Data; Transformator; Syntetisk data; Textgenerering; Djupinlärning; Tabelldata;

    Abstract : One of the areas propelled by the advancements in Deep Learning is Natural Language Processing. These continuous advancements allowed the emergence of new language models such as the Transformer [1], a deep learning model based on attention mechanisms that takes a sequence of symbols as input and outputs another sequence, attending to the input during its generation. READ MORE

  4. 4. Natural Language Processing techniques for feedback on text improvement : A qualitative study on press releases

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

    Author : Amanda Björner; [2021]
    Keywords : Natural Language Processing; press release; readability; text bias; sentiment analysis; Språkteknologi; pressmeddelande; läsbarhet; språklig bias; ämnesanalys;

    Abstract : Press releases play a key role in today’s news production by being public statements of newsworthy content that function as a pre-formulation of news. Press releases originate from a wide range of actors, and a common goal is for them to reach a high societal impact. READ MORE

  5. 5. Evaluation of Approaches for Representation and Sentiment of Customer Reviews

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

    Author : Stavros Giorgis; [2021]
    Keywords : machine learning; nlp; text analytics; sentiment analysis; transformers; tfidf; bow; fasttext; word2vec; bert; xlnet; roberta; maskininlärning; nlp; textanalys; sentimentanalys; transformatorer; tfidf; bow; fasttext; word2vec; bert; xlnet; roberta;

    Abstract : Classification of sentiment on customer reviews is a real-world application for many companies that offer text analytics and opinion extraction on customer reviews on different domains such as consumer electronics, hotels, restaurants, and car rental agencies. Natural Language Processing’s latest progress has seen the development of many new state-of-the-art approaches for representing the meaning of sentences, phrases, and words in the text using vector space models, so-called embeddings. READ MORE