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Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System

Research article (Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2018) · cited 14× · AI/ML
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Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System

Summary

Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System is a scholarly article[1].

Key Facts

  • Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System's instance of is recorded as scholarly article[2].

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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 Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-paraphrasing-and-memory-augmented-models-to-combat-data-sparsity-in-question-interpretation-with-a-virtual-patient
MLA “Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-paraphrasing-and-memory-augmented-models-to-combat-data-sparsity-in-question-interpretation-with-a-virtual-patient.
BibTeX @misc{4ortxyz_using-paraphrasing-and-memory-augmented-models-to-combat-data-sparsity-in-question-interpretation-with-a-virtual-patient_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System}}, year = {2026}, url = {https://4ort.xyz/entity/using-paraphrasing-and-memory-augmented-models-to-combat-data-sparsity-in-question-interpretation-with-a-virtual-patient}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System — https://4ort.xyz/entity/using-paraphrasing-and-memory-augmented-models-to-combat-data-sparsity-in-question-interpretation-with-a-virtual-patient (retrieved 2026-05-24)

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