Avancerad sökning

Hittade 2 uppsatser som matchar ovanstående sökkriterier.

1. 1. Ensuring Brand Safety by Using Contextual Text Features: A Study of Text Classification with BERT

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Lingqing Song; [2023]
   Nyckelord :;

   Sammanfattning : When advertisements are placed on web pages, the context in which the advertisements are presented is important. For example, manufacturers of kitchen knives may not want their advertisement to appear in a news article about a knife-wielding murderer. LÄS MER

3. 2. Extractive Text Summarization of Norwegian News Articles Using BERT

   Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Författare :Thomas Indrias Biniam; Adam Morén; [2021]
   Nyckelord :extractive text summarization; NLP; deep learning; BERT; BERTSum; Multilingual BERT; Norwegian BERT; transformer; Norwegian; news articles;

   Sammanfattning : Extractive text summarization has over the years been an important research area in Natural Language Processing. Numerous methods have been proposed for extracting information from text documents. Recent works have shown great success for English summarization tasks by fine-tuning the language model BERT using large summarization datasets. LÄS MER