Sökning: "Named Entity Recognition"

Visar resultat 1 - 5 av 39 uppsatser innehållade orden Named Entity Recognition.

  1. 1. Conversational Engine for Transportation Systems

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Albin Sidås; Simon Sandberg; [2021]
    Nyckelord :Natural Language Processing; Topic Classification; Named Entity Classification; NLP; NER; NERC;

    Sammanfattning : Today's communication between operators and professional drivers takes place through direct conversations between the parties. This thesis project explores the possibility to support the operators in classifying the topic of incoming communications and which entities are affected through the use of named entity recognition and topic classifications. LÄS MER

  2. 2. Extracting Transaction Information from Financial Press Releases

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Agaton Sjöberg; [2021]
    Nyckelord :Natural Language Processing; Information Extraction; Named Entity Recognition; Relation Extraction; Latent Structure Refinement; Financial Press Release; Insider Transaction;

    Sammanfattning : The use cases of Information Extraction (IE) are more or less endless, often consisting of a combination of Named Entity Recognition (NER) and Relation Extraction (RE). One use case of IE is the extraction of transaction information from Norwegian insider transaction Press Releases (PRs), where a transaction consists of at most four entities: the name of the owner performing the transaction, the number of shares transferred, the transaction date, and the price of the shares bought or sold. LÄS MER

  3. 3. Named-entity recognition with BERT for anonymization of medical records

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Olle Bridal; [2021]
    Nyckelord :NLP; anonymization; de-identification; NER; BERT; medical records; Swedish;

    Sammanfattning : Sharing data is an important part of the progress of science in many fields. In the largely deep learning dominated field of natural language processing, textual resources are in high demand. In certain domains, such as that of medical records, the sharing of data is limited by ethical and legal restrictions and therefore requires anonymization. LÄS MER

  4. 4. Exploring Construction of a Company Domain-Specific Knowledge Graph from Financial Texts Using Hybrid Information Extraction

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

    Författare :Chun-Heng Jen; [2021]
    Nyckelord :Natural Language Processing; Information Extraction; Named Entity Recognition; Relation Extraction; Knowledge Graph; Naturlig språkbehandling; Informationsextraktion; Namngiven Entitetsigenkänning; Relationsextraktion; Kunskapsgraf;

    Sammanfattning : Companies do not exist in isolation. They are embedded in structural relationships with each other. Mapping a given company’s relationships with other companies in terms of competitors, subsidiaries, suppliers, and customers are key to understanding a company’s major risk factors and opportunities. LÄS MER

  5. 5. Transforming Legal Entity Recognition

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Tim Andersson-Säll; [2021]
    Nyckelord :Natural Language Processing; BERT; Transformer; Legal AI; Transfer Learning; Neural Networks; Named Entity Recognition;

    Sammanfattning : Transformer-based architectures have in recent years advanced state-of-the-art performance in Natural Language Processing. Researchers have successfully adapted such models to downstream tasks within NLP in a domain-specific setting. LÄS MER