Sökning: "distributional similarity"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden distributional similarity.
1. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER
2. Towards Machine Translation with Quantum Computers
Master-uppsats, Stockholms universitet/FysikumSammanfattning : This work explores the possibilities to use quantum computers and quantum based language models for machine translation. Precise translation requires vast expertise and knowledge of various languages, thus machine translationis still far from superseding humans. LÄS MER
3. Exploring the Compositionality of German Particle Verbs
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : In this thesis we explore the compositionality of particle verbs using distributional similarity and pre-trained word embeddings. We investigate the compositionality of 100 pairs of particle verbs with their base verbs. The ranking of our findings are compared to a ranking of human ratings on compositionality. LÄS MER
4. Finding Synonyms in Medical Texts : Creating a system for automatic synonym extraction from medical texts
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis describes the work of creating an automatic system for identifying synonyms and semantically related words in medical texts. Before this work, as a part of the project E-care@home, medical texts have been classified as either lay or specialized by both a lay annotator and an expert annotator. LÄS MER
5. Creating Knowledge Graphs using Distributional Semantic Models
Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : This report researches a method for creating knowledge graphs, a specific way of structuring information, using distributional semantic models. Two different algorithms for selecting graph edges and two different algorithms for labelling edges are tried, and variations of those are evaluated. LÄS MER