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This dataset is a collection of abstracts from the CS section of ArXiV, each paired with triples from the Artificial Intelligence Knowledge Graph (AIKG) https://scholkg.kmi.open.ac.uk/ The pairing is determined by the fact that one or more entities of the triples are in the abstract. The dataset can be used to train triple extractors or to cluster triples (in the Computer Science and AI domains).
Scholarly Data, AIKG, Scientific Knowledge Graph Extraction
Scholarly Data, AIKG, Scientific Knowledge Graph Extraction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 |

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