Sökning: "entity extraction"

Visar resultat 1 - 5 av 33 uppsatser innehållade orden entity extraction.

  1. 1. 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

  3. 2. Fine-tuning a BERT-based NER Model for Positive Energy Districts

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Karen Ortega; Fei Sun; [2023]
    Nyckelord :Positive Energy District PED ; Named Entity Recognition NER ; Bidirectional Encoder Representations from Transformers BERT ; Pipeline; Fine-tune;

    Sammanfattning : This research presents an innovative approach to extracting information from Positive Energy Districts (PEDs), urban areas generating surplus energy. PEDs are integral to the European Commission's SET Plan, tackling housing challenges arising from population growth. LÄS MER

  4. 3. Named Entity Recognition for Case Narratives of Adverse Event Reports

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jayant Yadav; [2023]
    Nyckelord :;

    Sammanfattning : In the field of pharmacovigilance (PV), signal detection and assessment activities play a crucial role. They require a PV assessor to read through countless adverse event reports which is manual labor-intensive work. To ease the reading process, visual highlighters can be provided by leveraging natural language processing techniques. LÄS MER

  5. 4. Exploring Data Extraction and Relation Identification Using Machine Learning : Utilizing Machine-Learning Techniques to Extract Relevant Information from Climate Reports

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :William Berger; Alex Fooladi; Markus Lindgren; Michel Messo; Jonas Rosengren; Lukas Rådmann; [2023]
    Nyckelord :Data extraction; Named Entity Recognition; Relation Extraction; Machine Learning;

    Sammanfattning : Ensuring the accessibility of data from Swedish municipal climate reports is necessary for examining climate work in Sweden. Manual data extraction is time-consuming and prone to errors, necessitating automation of the process. LÄS MER

  7. 5. CONNECTING THE DOTS : Exploring gene contexts through knowledge-graph representations of gene-information derived from scientific literature

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Henrietta Hellberg; [2023]
    Nyckelord :Knowledge graph construction; Information extraction; Knowledge Graphs; Next-Generation Sequencing; Gene contextualization; Kunskapsgrafkonstruktion; Informationsextraktion; Kunskapsgrafer; Next-Generation Sequencing; Kontextualisering av gener;

    Sammanfattning : Analyzing the data produced by next-generation sequencing technologies relies on access to information synthesized based on previous research findings. The volume of data available in the literature is growing rapidly, and it is becoming increasingly necessary for researchers to use AI or other statistics-based approaches in the analysis of their datasets. LÄS MER