Sökning: "relation extraction"

Visar resultat 21 - 25 av 99 uppsatser innehållade orden relation extraction.

  1. 21. The window of Opportunity for the Paradox of Disputes Despite Interdependence by the Relational Theory of World Politics : A Predicate Analysis of the Relationship Between Japan and South Korea

    Kandidat-uppsats, Malmö universitet/Institutionen för globala politiska studier (GPS)

    Författare :Maija Palomäki; [2022]
    Nyckelord :international relations; relational theory of world politics; Chinese IR theory; relational identity; relators; hierarchy; cultural communities; WTO; DSB; World Trade Organization Dispute Settlement Body; WTO DSB complaints; WTO DSB case analysis; international disputes; economic interdependence; disputes despite interdependence; Japan South Korea relations; non-Western IR; predicate analysis;

    Sammanfattning : This thesis examines the relationship between Japan and South Korea and the paradox of its disputes despite the economic interdependence with the relational theory of world politics by Qin (2018b). World Trade Organization (WTO) Dispute Settlement Body (DSB) complaints between the countries between the years 2016 and 2020 have been analyzed to study this. LÄS MER

  3. 22. FPGA Implementation of the ORB Algorithm

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Xinyuan Zhang; Emil Sturk Sellstedt; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Image feature extraction has become a key technology in the field of autonomous Artificial Intelligence. The algorithm Oriented FAST and Rotated BRIEF (ORB), uses established technologies in image processing to allow a computer to ”see” and navigate its surroundings. LÄS MER

  4. 23. 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

  5. 24. Porjus Energy Village

    Uppsats för yrkesexamina på avancerad nivå, KTH/Arkitektur

    Författare :Jenny Heden Malm; [2021]
    Nyckelord :porjus; hydropower; speculative fiction; luleälven; lule river; renewable energy; dam; erosion; surrealism;

    Sammanfattning : My project attempts to nuance the bodies of knowledge produced in relation to processes of natural resource extraction in Norrbotten, Sweden. Operating between fact and fiction, I have presented the project as a speculative video narrative. The protagonist is the Lule River, where the implications of its domestication and agency is explored. LÄS MER

  7. 25. 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