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GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction

Research article (Knowledge-Based Systems, 2024) · cited 10× · AI/ML
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GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction

Summary

GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction is a scholarly article[1].

Key Facts

  • GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/geda-improving-training-data-with-large-language-models-for-aspect-sentiment-triplet-extraction
MLA “GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/geda-improving-training-data-with-large-language-models-for-aspect-sentiment-triplet-extraction.
BibTeX @misc{4ortxyz_geda-improving-training-data-with-large-language-models-for-aspect-sentiment-triplet-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/geda-improving-training-data-with-large-language-models-for-aspect-sentiment-triplet-extraction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction — https://4ort.xyz/entity/geda-improving-training-data-with-large-language-models-for-aspect-sentiment-triplet-extraction (retrieved 2026-05-24)

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