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The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems
Research article (IEEE Transactions on Computational Social Systems, 2022) · cited 44× · AI/ML
The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems
Summary
The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems is a scholarly article[1].
Key Facts
The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems's instance of is recorded as scholarly article[2].
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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). The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-joint-method-of-triple-attention-and-novel-loss-function-for-entity-relation-extraction-in-small-data-driven-computa
MLA“The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-joint-method-of-triple-attention-and-novel-loss-function-for-entity-relation-extraction-in-small-data-driven-computa.
BibTeX@misc{4ortxyz_the-joint-method-of-triple-attention-and-novel-loss-function-for-entity-relation-extraction-in-small-data-driven-computa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems}}, year = {2026}, url = {https://4ort.xyz/entity/the-joint-method-of-triple-attention-and-novel-loss-function-for-entity-relation-extraction-in-small-data-driven-computa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Joint Method of Triple Attention and Novel Loss Function for Entity Relation Extraction in Small Data-Driven Computational Social Systems — https://4ort.xyz/entity/the-joint-method-of-triple-attention-and-novel-loss-function-for-entity-relation-extraction-in-small-data-driven-computa (retrieved 2026-05-24)
