Learning to rank for multi-label text classification: Combining different sources of information

Research article (Natural Language Engineering, 2020) · cited 30× · AI/ML
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Learning to rank for multi-label text classification: Combining different sources of information

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Learning to rank for multi-label text classification: Combining different sources of information is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning to rank for multi-label text classification: Combining different sources of information. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-to-rank-for-multi-label-text-classification-combining-different-sources-of-information
MLA “Learning to rank for multi-label text classification: Combining different sources of information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-to-rank-for-multi-label-text-classification-combining-different-sources-of-information.
BibTeX @misc{4ortxyz_learning-to-rank-for-multi-label-text-classification-combining-different-sources-of-information_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning to rank for multi-label text classification: Combining different sources of information}}, year = {2026}, url = {https://4ort.xyz/entity/learning-to-rank-for-multi-label-text-classification-combining-different-sources-of-information}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning to rank for multi-label text classification: Combining different sources of information — https://4ort.xyz/entity/learning-to-rank-for-multi-label-text-classification-combining-different-sources-of-information (retrieved 2026-05-24)

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