Sökning: "Bert From"

Visar resultat 1 - 5 av 167 uppsatser innehållade orden Bert From.

1. 1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Linda Erwe; Xin Wang; [2024]
   Nyckelord :sentiment analysis; natural language processing; BERT; VADER; sustainability report; Mathematics and Statistics;

   Sammanfattning : 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

3. 2. Approximating Reasoning with Transformer Language Models

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Daniel Enström; Viktor Kjellberg; [2023-10-19]
   Nyckelord :natural language processing; nlp; automated reasoning; logic; inference; machine learning; transformers; language models; BERT; BART;

   Sammanfattning : 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

4. 3. Data Augmentation: Enhancing Named Entity Recognition Performance on Swedish Medical Texts

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Lucas Rosvall; Niklas Paasonen; [2023-10-05]
   Nyckelord :Machine Learning; Information Extraction; Named Entity Recognition; BERT; Data Augmentation;

   Sammanfattning : Named Entity Recognition (NER) refers to the task of locating relevant information within text sequences. Within the medical domain, it can benefit applications such as de-identifying patient records or extracting valuable data for other downstream tasks. LÄS MER

5. 4. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

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

   Författare :Yiu Kei Tang; [2023]
   Nyckelord :;

   Sammanfattning : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. LÄS MER

7. 5. Detection of insurance fraud using NLP and ML

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Rasmus Bäcklund; Hampus Öhman; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. LÄS MER