Essays about: "semantic similarity"

Showing result 16 - 20 of 57 essays containing the words semantic similarity.

1. 16. Modeling topics and semantic similarity with data from You Tube community discussions

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Jonas Olsson; [2021]
   Keywords : ;

   Abstract : Climate change is generally considered one of the most prominent issues of the 21stcentury and resources from many fields of science are used on researching the topicand finding solutions. Computer science and social science are two fields that havecombined over the last ten years to study the topic. READ MORE

3. 17. Evaluating semantic similarity using sentence embeddings

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

   Author : Jacob Malmberg; [2021]
   Keywords : ;

   Abstract : Semantic similarity search is the task of searching for documents or sentences which contain semantically similar content to a user-submitted search term. This task is often carried out, for instance when searching for information on the internet. READ MORE

4. 18. Repairing Swedish Automatic Speech Recognition

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

   Author : Karla Rehn; [2021]
   Keywords : Automatic speech recognition; Dialogue systems; Language models; ASR Repair; Automatisk taligenkänning; Dialogsystem; Språkmodeller; Reparation av taligenkänning;

   Abstract : The quality of automatic speech recognition has increased dramatically the last few years, but the performance for low and middle resource languages such as Swedish is still far from optimal. In this project a language model trained on large written corpora called KB-BERT is utilized to improve the quality of transcriptions for Swedish. READ MORE

5. 19. Evaluating Unsupervised Methods for Out-of-Distribution Detection on Semantically Similar Image Data

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

   Author : Magnus Pierrau; [2021]
   Keywords : Out-of-distribution detection; anomaly detection; semantic similarity; image data; comparative evaluation; synthetic image data; Out-of-distribution detektion; anomali detektion; semantisk likhet; bilddata; jämförande utvärdering; syntetisk bilddata;

   Abstract : Out-of-distribution detection considers methods used to detect data that deviates from the underlying data distribution used to train some machine learning model. This is an important topic, as artificial neural networks have previously been shown to be capable of producing arbitrarily confident predictions, even for anomalous samples that deviate from the training distribution. READ MORE

6. 20. Deep learning for identification of figurative elements in trademark images using Vienna codes

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Arjeton Uzairi; [2021]
   Keywords : deep learning; machine learning; multi-class image classification; trademark image similarity; trademark conceptual similarity;

   Abstract : Labeling of trademark images with Vienna codes from the Vienna classification is a manual process carried out by domain experts, which enables searching trademark image databases using specific keywords that describe the semantic meaning of the figurative elements. In this research, we are investigating how application of supervised learning algorithms can improve and automate the manual process of labeling of new un-labeled trademark images. READ MORE