Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Networks for Assessing Semantic Textual Similarity: Model Development and Performance Comparison

Research article (JMIR Medical Informatics, 2021) · cited 16× · AI/ML
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Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Networks for Assessing Semantic Textual Similarity: Model Development and Performance Comparison

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Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Networks for Assessing Semantic Textual Similarity: Model Development and Performance Comparison is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Networks for Assessing Semantic Textual Similarity: Model Development and Performance Comparison. Retrieved May 24, 2026, from https://4ort.xyz/entity/incorporating-domain-knowledge-into-language-models-by-using-graph-convolutional-networks-for-assessing-semantic-textual
MLA “Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Networks for Assessing Semantic Textual Similarity: Model Development and Performance Comparison.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/incorporating-domain-knowledge-into-language-models-by-using-graph-convolutional-networks-for-assessing-semantic-textual.
BibTeX @misc{4ortxyz_incorporating-domain-knowledge-into-language-models-by-using-graph-convolutional-networks-for-assessing-semantic-textual_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Networks for Assessing Semantic Textual Similarity: Model Development and Performance Comparison}}, year = {2026}, url = {https://4ort.xyz/entity/incorporating-domain-knowledge-into-language-models-by-using-graph-convolutional-networks-for-assessing-semantic-textual}, note = {Accessed: 2026-05-24}}
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