Abstract
In this work, we present a web application named DBLPLink, which performs entity linking over the DBLP scholarly knowledge graph. DBLPLink uses text-to-text pre-trained language models, such as T5, to produce entity label spans from an input text question. Entity candidates are fetched from a database based on the labels, and an entity re-ranker sorts them based on entity embeddings, such as TransE, DistMult and ComplEx. The results are displayed so that users may compare and contrast the results between T5-small, T5-base and the different KG embeddings used. The demo can be accessed at https://ltdemos.informatik.uni-hamburg.de/dblplink/. Code and data shall be made available at https://github.com/uhh-lt/dblplink.
| Originalsprache | Englisch |
|---|---|
| Titel | ISWC-Posters-Demos-Industry 2023 : Proceedings of the ISWC 2023 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice ISWC 2023 |
| Redakteure/-innen | Irini Fundulaki, Kouji Kozaki, Daniel Garijo, Jose Manuel Gomez-Perez |
| Seitenumfang | 5 |
| Band | 3632 |
| Herausgeber (Verlag) | Sun Site Central Europe (RWTH Aachen University) |
| Erscheinungsdatum | 2023 |
| DOIs | |
| Publikationsstatus | Erschienen - 2023 |
| Extern publiziert | Ja |
| Veranstaltung | 22nd International Semantic Web Conference: From Novel Ideas to Industrial Practice - Athens, Griechenland Dauer: 06.11.2023 → 10.11.2023 Konferenznummer: 22 https://iswc2023.semanticweb.org/ https://doi.org/10.25798/ycnb-jn48 https://dblp.org/streams/conf/semweb#2023 http://www.wikidata.org/entity/Q119153957 |
Bibliographische Notiz
Publisher Copyright:© 2023 Copyright for this paper by its authors.
Fachgebiete und Schlagwörter
- Informatik
- Wirtschaftsinformatik
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