Sökning: "Named entity recognition"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden Named entity recognition.

  1. 1. Named Entity Recognition for Detecting Trends in Biomedical Literature

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Betty Törnkvist; [2024]
    Nyckelord :NLP NER CHO;

    Sammanfattning : 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

  3. 2. 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

  4. 3. Specificity in Non-Financial Disclosure - Regulated by Directive 2014/95/EU

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Matilda Frövenholt; Kevin Wirdéus; [2023-07-03]
    Nyckelord :Directive 2014 95 EU; ESG Disclosure; Biodiversity; Specificity; Textual Analysis; Named Entity Recognition; Market Reaction;

    Sammanfattning : 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

  5. 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 beräkningsvetenskap

    Författare :Erik Norén; [2023]
    Nyckelord :Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

    Sammanfattning : 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

  7. 5. Unified Modeling Language(UML) generation from userrequirements in naturallanguage

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Megh Gala; [2023]
    Nyckelord :;

    Sammanfattning : 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