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Using word embeddings to generate data-driven human agent decision-making from natural language

Research article (GeoInformatica, 2019) · cited 18× · AI/ML
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Using word embeddings to generate data-driven human agent decision-making from natural language

Summary

Using word embeddings to generate data-driven human agent decision-making from natural language is a scholarly article[1].

Key Facts

  • Using word embeddings to generate data-driven human agent decision-making from natural language's instance of is recorded as scholarly article[2].

Related Entities

Maria L. Gini

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using word embeddings to generate data-driven human agent decision-making from natural language. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-word-embeddings-to-generate-data-driven-human-agent-decision-making-from-natural-language
MLA “Using word embeddings to generate data-driven human agent decision-making from natural language.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-word-embeddings-to-generate-data-driven-human-agent-decision-making-from-natural-language.
BibTeX @misc{4ortxyz_using-word-embeddings-to-generate-data-driven-human-agent-decision-making-from-natural-language_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using word embeddings to generate data-driven human agent decision-making from natural language}}, year = {2026}, url = {https://4ort.xyz/entity/using-word-embeddings-to-generate-data-driven-human-agent-decision-making-from-natural-language}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using word embeddings to generate data-driven human agent decision-making from natural language — https://4ort.xyz/entity/using-word-embeddings-to-generate-data-driven-human-agent-decision-making-from-natural-language (retrieved 2026-05-24)

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