Titel: | Knowledge Graph Question Answering with Generative Language Models |
Sprache: | Englisch |
Autor*in: | Banerjee, Debayan |
Schlagwörter: | Knowledge Graphs; Question Answering; Generative Language Models |
GND-Schlagwörter: | Großes SprachmodellGND WissensgraphGND Frage-Antwort-SystemGND |
Erscheinungsdatum: | 2024 |
Tag der mündlichen Prüfung: | 2024-08-29 |
Zusammenfassung: | A Knowledge Graph (KG) is a data structure that stores information about the world in the form of nodes and edges. The nodes represent people, places, things etc., while the edges store the relationships between the nodes. The nodes are also known as entities, while the edges are known as relations or predicates. Several popular search engines today make use of such KGs in the background. Some wel... |
URL: | https://ediss.sub.uni-hamburg.de/handle/ediss/11138 |
URN: | urn:nbn:de:gbv:18-ediss-120976 |
Dokumenttyp: | Dissertation |
Bemerkung: | urn:nbn:de:0074-3617-4 and urn:nbn:de:0074-3632-3 are proceedings consisting of several publications, two of which are my publications which are a part of this thesis. For the individual publications, no specific URN or DOI identifiers exist. |
Betreuer*in: | Biemann, Chris Usbeck, Ricardo |
Enthalten in den Sammlungen: | Elektronische Dissertationen und Habilitationen |
Dateien zu dieser Ressource:
Datei | Beschreibung | Prüfsumme | Größe | Format | |
---|---|---|---|---|---|
debayan_phd_thesis_final_7_4.pdf | b280d5759cbcf3db0a17b6529c5af6ef | 4.2 MB | Adobe PDF | Öffnen/Anzeigen |
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