DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912674817769472 |
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| author | Banerjee, Debayan Taffa, Tilahun Abedissa Usbeck, Ricardo |
| author_facet | Banerjee, Debayan Taffa, Tilahun Abedissa Usbeck, Ricardo |
| contents | In this work we present an entity linker for DBLP's 2025 version of RDF-based Knowledge Graph. Compared to the 2022 version, DBLP now considers publication venues as a new entity type called dblp:Stream. In the earlier version of DBLPLink, we trained KG-embeddings and re-rankers on a dataset to produce entity linkings. In contrast, in this work, we develop a zero-shot entity linker using LLMs using a novel method, where we re-rank candidate entities based on the log-probabilities of the "yes" token output at the penultimate layer of the LLM. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_22811 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph Banerjee, Debayan Taffa, Tilahun Abedissa Usbeck, Ricardo Computation and Language In this work we present an entity linker for DBLP's 2025 version of RDF-based Knowledge Graph. Compared to the 2022 version, DBLP now considers publication venues as a new entity type called dblp:Stream. In the earlier version of DBLPLink, we trained KG-embeddings and re-rankers on a dataset to produce entity linkings. In contrast, in this work, we develop a zero-shot entity linker using LLMs using a novel method, where we re-rank candidate entities based on the log-probabilities of the "yes" token output at the penultimate layer of the LLM. |
| title | DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2507.22811 |