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Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing
Research article (Journal of Informetrics, 2020) · cited 40× · AI/ML
Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing
Summary
Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing is a scholarly article[1].
Key Facts
Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-the-full-text-content-of-academic-articles-to-identify-and-evaluate-algorithm-entities-in-the-domain-of-natural-la
MLA“Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-the-full-text-content-of-academic-articles-to-identify-and-evaluate-algorithm-entities-in-the-domain-of-natural-la.
BibTeX@misc{4ortxyz_using-the-full-text-content-of-academic-articles-to-identify-and-evaluate-algorithm-entities-in-the-domain-of-natural-la_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing}}, year = {2026}, url = {https://4ort.xyz/entity/using-the-full-text-content-of-academic-articles-to-identify-and-evaluate-algorithm-entities-in-the-domain-of-natural-la}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing — https://4ort.xyz/entity/using-the-full-text-content-of-academic-articles-to-identify-and-evaluate-algorithm-entities-in-the-domain-of-natural-la (retrieved 2026-05-24)
