Sökning: "fine art"

Visar resultat 31 - 35 av 154 uppsatser innehållade orden fine art.

1. 31. Domain Adaptation with N-gram Language Models for Swedish Automatic Speech Recognition : Using text data augmentation to create domain-specific n-gram models for a Swedish open-source wav2vec 2.0 model

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

   Författare :Viktor Enzell; [2022]
   Nyckelord :Automatic Speech Recognition; Domain Adaptation; Language Models; Ngram Models; Wav2vec2; Taligenkänning; Domänanpassning; Språkmodeller; N-gramModeller; Wav2vec2;

   Sammanfattning : Automatic Speech Recognition (ASR) enables a wide variety of practical applications. However, many applications have their own domain-specific words, creating a gap between training and test data when used in practice. LÄS MER

3. 32. Evaluating the robustness of DistilBERT to data shift in toxicity detection

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

   Författare :Caroline Larsen; [2022]
   Nyckelord :Machine learning; Natural Language Processing; DistilBERT; Toxicity Detection; Profanity Detection; Hate Speech Identification; Text preprocessing; Maskininlärning; naturligtspråkbehandling; DistilBERT; identifiering av kränkande språk; identifiering av svordomar; textbehandling;

   Sammanfattning : With the rise of social media, cyberbullying and online spread of hate have become serious problems with devastating consequences. Mentimeter is an interactive presentation tool enabling the presentation audience to participate by typing their own answers to questions asked by the presenter. LÄS MER

4. 33. Investigating Machine Learning for verification of AMBA APB protocol.

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Abhiram Srisai Kishore; Mohammed Wasim; [2022]
   Nyckelord :Machine learning; SOC Verification; AMBA; Neural Networks; Deep Learning; Assertions.; Technology and Engineering;

   Sammanfattning : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. LÄS MER

5. 34. Pre-training a knowledge enhanced model in biomedical domain for information extraction

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

   Författare :Xi Yan; [2022]
   Nyckelord :bio-nlp; knowledge enhanced language model; pre-training; information extraction. transformer;

   Sammanfattning : While recent years have seen a rise of research in knowledge graph enrichedpre-trained language models(PLM), few studies have tried to transfer the work to the biomedical domain. This thesis is a first attempt to pre-train a large-scalebiological knowledge enriched language model (KPLM). Under the frameworkof CoLAKE (T. Sun et al. LÄS MER

7. 35. Transformer-based Source Code Description Generation : An ensemble learning-based approach

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

   Författare :Mantzaris Antonios; [2022]
   Nyckelord :Natural Language Processing; Code Summarization; Transformers; Text Generation; Ensemble Learning; BLEU; Naturlig språkbehandling; Kodsammanfattning; Transformatorer; Textgenerering; Ensemble Lärande; BLEU;

   Sammanfattning : Code comprehension can be significantly benefited from high-level source code summaries. For the majority of the developers, understanding another developer’s code or code that was written in the past by them, is a timeconsuming and frustrating task. LÄS MER