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Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area
Research article (Journal of the Association for Information Science and Technology, 2015) · cited 29× · AI/ML
Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area
Summary
Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area is a scholarly article[1].
Key Facts
Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploiting-heterogeneous-scientific-literature-networks-to-combat-ranking-bias-evidence-from-the-computational-linguisti
MLA“Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploiting-heterogeneous-scientific-literature-networks-to-combat-ranking-bias-evidence-from-the-computational-linguisti.
BibTeX@misc{4ortxyz_exploiting-heterogeneous-scientific-literature-networks-to-combat-ranking-bias-evidence-from-the-computational-linguisti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-heterogeneous-scientific-literature-networks-to-combat-ranking-bias-evidence-from-the-computational-linguisti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area — https://4ort.xyz/entity/exploiting-heterogeneous-scientific-literature-networks-to-combat-ranking-bias-evidence-from-the-computational-linguisti (retrieved 2026-05-24)
