Sökning: "Natural Language Model"
Visar resultat 1 - 5 av 380 uppsatser innehållade orden Natural Language Model.
1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. LÄS MER
2. "13 meter från marken" : Poetiska texter i en svensk niondeklass
Master-uppsats, Uppsala universitet/Institutionen för pedagogik, didaktik och utbildningssociologiSammanfattning : This master’s thesis investigates poetic text writing through a teaching project conducted on a secondary school class in Sweden. Inspired by ekphrastic poetry, the teaching project consisted of poetry and literature reading. The students visited a sculpture related to the literature, upon which they wrote poetic texts about the sculpture. LÄS MER
3. Initial Development and Validation of Language-Based Assessments for Meaningful Change
Kandidat-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Meaningful change has been discussed in multiple studies, with the recurring question of how it could be conceptualized and assessed to identify what determines meaningful change and where it occurs. Previous studies have conducted statistical analyses based on traditional rating scales (i.e., the PHQ-9) to assess meaningful change. LÄS MER
4. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. LÄS MER
5. Approximating Reasoning with Transformer Language Models
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability problems in propositional logic originally created by Zhang et al. (2022). LÄS MER