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Towards Open-Domain Topic Classification

Research article (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2022) · cited 11× · AI/ML
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Towards Open-Domain Topic Classification

Summary

Towards Open-Domain Topic Classification is a scholarly article[1].

Key Facts

  • Towards Open-Domain Topic Classification's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). Towards Open-Domain Topic Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-open-domain-topic-classification
MLA “Towards Open-Domain Topic Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-open-domain-topic-classification.
BibTeX @misc{4ortxyz_towards-open-domain-topic-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards Open-Domain Topic Classification}}, year = {2026}, url = {https://4ort.xyz/entity/towards-open-domain-topic-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards Open-Domain Topic Classification — https://4ort.xyz/entity/towards-open-domain-topic-classification (retrieved 2026-05-24)

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