mlsanityData to 7 Oct 2026

DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph

arXiv 2309.07545 ↗First posted 14 Sep 2023cs.CLcited by 4

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Abstract (arXiv)

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/.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 5 of its 12 references that are in the map. First posted on arXiv 14 Sep 2023.

Builds on

5 of 12 references.

References · 5

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  2. 2014Embedding Entities and Relations for Learning and Inference in Knowledge Basescited by 929
  3. 2016Complex Embeddings for Simple Link Predictioncited by 897
  4. 2020Neural Entity Linking: A Survey of Models Based on Deep Learningcited by 46
  5. 2023DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graphcited by 18

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 2; 2025: 1.

4 papers.

  1. 2023NLQxform: A Language Model-based Question to SPARQL Transformercited by 8
  2. 2024SPARQL Generation with Entity Pre-trained GPT for KG Question Answeringcited by 6
  3. 2024BERTologyNavigator: Advanced Question Answering with BERT-based Semanticscited by 2
  4. 2025DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graphcited by 0