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Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 47× · AI/ML
academia openalex:W4385567522
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Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Summary

Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings is a scholarly article[1].

Key Facts

  • Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings's instance of is recorded as scholarly article[2].

Related Entities

Bela Gipp Isabelle Augenstein

References

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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). Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. Retrieved May 24, 2026, from https://4ort.xyz/entity/neighborhood-contrastive-learning-for-scientific-document-representations-with-citation-embeddings
MLA “Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neighborhood-contrastive-learning-for-scientific-document-representations-with-citation-embeddings.
BibTeX @misc{4ortxyz_neighborhood-contrastive-learning-for-scientific-document-representations-with-citation-embeddings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings}}, year = {2026}, url = {https://4ort.xyz/entity/neighborhood-contrastive-learning-for-scientific-document-representations-with-citation-embeddings}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings — https://4ort.xyz/entity/neighborhood-contrastive-learning-for-scientific-document-representations-with-citation-embeddings (retrieved 2026-05-24)

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