Sökning: "Naturlig språkbehandling"

Visar resultat 6 - 10 av 60 uppsatser innehållade orden Naturlig språkbehandling.

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

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

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

   Sammanfattning : 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. LÄS MER

3. 7. Unveiling the Values of ChatGPT : An Explorative Study on Human Values in AI Systems

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

   Författare :Caroline Lindahl; Helin Saeid; [2023]
   Nyckelord :ChatGPT; World Values Survey; large language model; human values; machine learning; AI; generative AI; AI alignment;

   Sammanfattning : Recent technological breakthroughs in natural language processing and artificial intelligence (AI) and the subsequent release of OpenAIs generative AI system, ChatGPT, have warranted much attention from researchers and the general public alike. Some with praise, foreseeing a brighter future for all, and some predicting the end of humanity. LÄS MER

4. 8. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies

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

   Författare :Gustaf Halvardsson; [2023]
   Nyckelord :Machine learning; Time Series Classification; Transformers; Gated Recurrent Unit; Venture Capital; Maskininlärning; tidsseriesklassifiering; Transformer; Gated Recurrent Unit; riskkapital;

   Sammanfattning : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). LÄS MER

5. 9. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

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

   Författare :Luciano Zapata; [2023]
   Nyckelord :Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

   Sammanfattning : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. LÄS MER

7. 10. Static Analysis Of Client-Side JavaScript Code To Detect Server-Side Business Logic Vulnerabilities

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

   Författare :Frederick van der Windt; [2023]
   Nyckelord :JavaScript; Static Analysis; Business Logic Vulnerabilities; Client-side; Fuzzing; Black-box; JavaScript; statisk analys; sårbarheter i affärslogiken; klientsidan; Fuzzing; Black-box;

   Sammanfattning : In the real world, web applications are crucial in various domains, from e-commerce to finance and healthcare. However, these applications are not immune to vulnerabilities, particularly in business logic. Detecting such vulnerabilities can be challenging due to the complexity and diversity of application functionality. LÄS MER