Sökning: "wikipedia"

Visar resultat 1 - 5 av 123 uppsatser innehållade ordet wikipedia.

  1. 1. Multilingual Text Robots for Abstract Wikipedia – Using Grammatical Framework to generate multilingual articles on Swedish localities

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

    Författare :Omar Diriye; Filip Folkesson; Erik NIlsson; Felix NIlsson; William NIlsson; Dylan Osolian; [2023-03-03]
    Nyckelord :Text robot; Natural Language Generation; Grammatical Framework; Multilingual Natural Language Generation; Abstract Wikipedia; Wikidata;

    Sammanfattning : The vast amount of Wikipedia articles and languages has resulted in a high cost of Wikipedia, i.e. the required time and dedication for making every article available in every language. LÄS MER

  3. 2. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization

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

    Författare :Fabio Camerota; [2023]
    Nyckelord :XLNet; BERT; Toxic Comment Classification; Entropy-based Attention Regularization; XLNet; BERT; Toxisk Kommentar Klassificering; Entropibaserad uppmärksamhetsreglering;

    Sammanfattning : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. LÄS MER

  4. 3. A Study in Describing Complex Words Using Wikipedia's Categorisation System : Adding Descriptive Terms to Increase the Comprehension of Swedish Texts

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sebastian Ragnarsson; [2023]
    Nyckelord :epithet; wikipedia; nlp; complex words; prototype theori;

    Sammanfattning : This thesis offers new input in the field of generating epithets to aid the comprehension of Swedish texts. For whatever reason, a reader might find certain words in a text difficult to understand. LÄS MER

  5. 4. Generating Wikipedia Articles with Grammatical Framework : A Case Study

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

    Författare :Keivan Matinzadeh; [2023]
    Nyckelord :Grammatical Framework; Computational Linguistics; Natural Language Generation; Computer Science; Grammatical Framework; Beräkningslingvistik; Textgenerering; Datavetenskap;

    Sammanfattning : Natural language generation is a method used to produce understandable texts in human languages from data [1]. Grammatical Framework is a grammar formalism and a functional programming language using a nonstatistical approach to build natural language applications. LÄS MER

  7. 5. A Hybrid Approach to Hate Speech Detection

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Rickardsson; [2023]
    Nyckelord :;

    Sammanfattning : An interesting question is to what extent can background knowledge help in the context of text classification. To address this in more detail, can a traditional rulebased classifier help boost the accuracy of learned models? We explore this here for detecting hate speech and offensive language in online text. LÄS MER