Short Text Entity Linking with Fine-grained Topics

Research article (Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018) · cited 42× · AI/ML
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Short Text Entity Linking with Fine-grained Topics

Summary

Short Text Entity Linking with Fine-grained Topics is a scholarly article[1].

Key Facts

  • Short Text Entity Linking with Fine-grained Topics'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.

📑 Cite this page

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). Short Text Entity Linking with Fine-grained Topics. Retrieved May 24, 2026, from https://4ort.xyz/entity/short-text-entity-linking-with-fine-grained-topics
MLA “Short Text Entity Linking with Fine-grained Topics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/short-text-entity-linking-with-fine-grained-topics.
BibTeX @misc{4ortxyz_short-text-entity-linking-with-fine-grained-topics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Short Text Entity Linking with Fine-grained Topics}}, year = {2026}, url = {https://4ort.xyz/entity/short-text-entity-linking-with-fine-grained-topics}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Short Text Entity Linking with Fine-grained Topics — https://4ort.xyz/entity/short-text-entity-linking-with-fine-grained-topics (retrieved 2026-05-24)

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