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Visar resultat 1 - 5 av 62 uppsatser som matchar ovanstående sökkriterier.
1. Named Entity Recognition for Detecting Trends in Biomedical Literature
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : The number of publications in the biomedical field increases exponentially, which makes the task of keeping up with current research more and more difficult. However, rapid advances in the field of Natural Language Processing (NLP) offer possible solutions to this problem. LÄS MER
2. Data Augmentation: Enhancing Named Entity Recognition Performance on Swedish Medical Texts
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : 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
3. Specificity in Non-Financial Disclosure - Regulated by Directive 2014/95/EU
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : We use textual analysis of annual reports to investigate if ESG disclosures, including biodiversity, regulated by the Directive 2014/95/EU provide the market with decision-useful information. Several studies have examined whether the directive has increased the quality of ESG disclosure but with mixed results. LÄS MER
4. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. LÄS MER
5. Unified Modeling Language(UML) generation from userrequirements in naturallanguage
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : A significant challenge in software engineering is the process of translating natural language requirements into Unified Modeling Language (UML) diagrams. This thesis delves into the methodologies and approaches involved in the automated derivation of UML diagrams from textual requirements. LÄS MER