Essays about: "Naturligt språkbehandling"

Showing result 1 - 5 of 13 essays containing the words Naturligt språkbehandling.

1. 1. Automated Vulnerability Management

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

   Author : Yuhan Ma; [2023]
   Keywords : Software security; Machine learning; Automation; Vulnerability management; Natural language processing; Programvarusäkerhet; Maskininlärning; Automation; Sårbarhetshantering; Bearbetning av naturligt språk;

   Abstract : The field of software security is constantly evolving, and security must be taken into consideration throughout the entire product life cycle. This is particularly important in today’s dynamic security landscape, where threats and vulnerabilities constantly change. READ MORE

3. 2. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries

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

   Author : Celine Helgesson Hallström; [2023]
   Keywords : Natural Language Processing; Large Language Models; Automatic Text Evaluation; Text Summarization; Multilingualism; Naturlig Språkbehandling; Stora Språkmodeller; Automatisk Textutvärdering; Textsammanfattning; Flerspråkighet;

   Abstract : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. READ MORE

4. 3. Exploring toxic lexicon similarity methods with the DRG framework on the toxic style transfer task

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

   Author : Martin Iglesias; [2023]
   Keywords : Detoxifcation; Text style transfer; Deep learning; Transformers; Linguistics; Natural Language Processing; Hate speech; Text style-conditional generation; Large language model; Avgiftning; Överföring av textstil; Djupinlärning; Transformatorer; Lingvistik; Naturlig språkbehandling; Hatprat; Textstil - villkorlig generering; Stor språkmodell;

   Abstract : The topic of this thesis is the detoxification of language in social networks with a particular focus on style transfer techniques that combine deep learning and linguistic resources. In today’s digital landscape, social networks are rife with communication that can often be toxic, either intentionally or unintentionally. READ MORE

5. 4. Fine-Tuning Pre-Trained Language Models for CEFR-Level and Keyword Conditioned Text Generation : A comparison between Google’s T5 and OpenAI’s GPT-2

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

   Author : Quintus Roos; [2022]
   Keywords : Transformed-based Pre-trained Language Models; Natural Language Processing; Natural Language Generation; Conditional Text Generation; Text Classification; Fine-tuning; English Language Learning.; Transformbaserade förtränade språkmodeller; naturlig språkbehandling; naturlig språkgenerering; betingad textgenerering; finjustering; instruktionsjustering; engelska inlärning.;

   Abstract : This thesis investigates the possibilities of conditionally generating English sentences based on keywords-framing content and different difficulty levels of vocabulary. It aims to contribute to the field of Conditional Text Generation (CTG), a type of Natural Language Generation (NLG), where the process of creating text is based on a set of conditions. READ MORE

6. 5. Discover patterns within train log data using unsupervised learning and network analysis

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

   Author : Zehua Guo; [2022]
   Keywords : Log analysis; Natural language processing; Unsupervised learning; Clustering; Network analysis; Logganalys; Bearbetning av naturligt språk; Oövervakat lärande; Clustering; Nätverksanalys;

   Abstract : With the development of information technology in recent years, log analysis has gradually become a hot research topic. However, manual log analysis requires specialized knowledge and is a time-consuming task. Therefore, more and more researchers are searching for ways to automate log analysis. READ MORE