chapter | Q1980247 |
scholarly article | Q13442814 |
P356 | DOI | 10.1007/978-3-031-33455-9_11 |
P856 | official website | https://link.springer.com/chapter/10.1007/978-3-031-33455-9_11 |
P50 | author | Nicolas Heist | Q118868159 |
Heiko Paulheim | Q23709849 | ||
P2860 | cites work | Entity Linking and Discovery via Arborescence-based Supervised Clustering | Q118868045 |
NILK: Entity Linking Dataset Targeting NIL-linking Cases | Q118868061 | ||
The assignment problem revisited | Q118868152 | ||
P4510 | describes a project that uses | Bidirectional Encoder Representations from Transformer | Q61726893 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | transformer | Q85810444 |
entity linking | Q17012245 | ||
P1104 | number of pages | 18 | |
P304 | page(s) | 174-191 | |
P577 | publication date | 2023-05-22 | |
P1433 | published in | The Semantic Web: 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings | Q118792819 |
P1476 | title | NASTyLinker: NIL-Aware Scalable Transformer-Based Entity Linker |
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