Unsupervised word embeddings capture latent knowledge from materials science literature

Research article (Nature, 2019) · cited 1,079× · AI/ML

academia openalex:W2953641512

Press Enter · cited answer in seconds

Unsupervised word embeddings capture latent knowledge from materials science literature

Summary

Unsupervised word embeddings capture latent knowledge from materials science literature is a scholarly article^[1].

Key Facts

Unsupervised word embeddings capture latent knowledge from materials science literature'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

[2] ↑ Unsupervised word embeddings capture latent knowledge from materials science literature — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Unsupervised word embeddings capture latent knowledge from materials science literature is an instance of scholarly article (scholarly article) [P31, primary]. 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). Unsupervised word embeddings capture latent knowledge from materials science literature. Retrieved May 24, 2026, from https://4ort.xyz/entity/unsupervised-word-embeddings-capture-latent-knowledge-from-materials-science-literature

MLA

“Unsupervised word embeddings capture latent knowledge from materials science literature.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unsupervised-word-embeddings-capture-latent-knowledge-from-materials-science-literature.

BibTeX

@misc{4ortxyz_unsupervised-word-embeddings-capture-latent-knowledge-from-materials-science-literature_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unsupervised word embeddings capture latent knowledge from materials science literature}}, year = {2026}, url = {https://4ort.xyz/entity/unsupervised-word-embeddings-capture-latent-knowledge-from-materials-science-literature}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unsupervised word embeddings capture latent knowledge from materials science literature — https://4ort.xyz/entity/unsupervised-word-embeddings-capture-latent-knowledge-from-materials-science-literature (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/unsupervised-word-embeddings-capture-latent-knowledge-from-materials-science-literature · Last refreshed: May 24, 2026