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 GrößeFormat  
debayan_phd_thesis_final_7_4.pdfb280d5759cbcf3db0a17b6529c5af6ef4.2 MBAdobe PDFÖffnen/Anzeigen
Zur Langanzeige

Info

Seitenansichten

Letzte Woche
Letzten Monat
geprüft am null

Download(s)

Letzte Woche
Letzten Monat
geprüft am null
Werkzeuge

Google ScholarTM

Prüfe