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Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts
Research article (Automation in Construction, 2024) · cited 12× · AI/ML
Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts
Summary
Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts is a scholarly article[1].
Key Facts
Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-deep-learning-and-multi-attention-for-joint-extraction-of-entities-and-relationships-in-engineering-consulti
MLA“Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-deep-learning-and-multi-attention-for-joint-extraction-of-entities-and-relationships-in-engineering-consulti.
BibTeX@misc{4ortxyz_integrating-deep-learning-and-multi-attention-for-joint-extraction-of-entities-and-relationships-in-engineering-consulti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-deep-learning-and-multi-attention-for-joint-extraction-of-entities-and-relationships-in-engineering-consulti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts — https://4ort.xyz/entity/integrating-deep-learning-and-multi-attention-for-joint-extraction-of-entities-and-relationships-in-engineering-consulti (retrieved 2026-05-24)
