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Computing semantic similarity of texts based on deep graph learning with ability to use semantic role label information
We propose a deep graph learning approach for computing semantic textual similarity (STS) by using semantic role labels generated by a Semantic Role Labeling (SRL) system. SRL system output has significant challenges in dealing with graph-neural networks because it doesn't have a graph structur...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428166/ https://www.ncbi.nlm.nih.gov/pubmed/36042274 http://dx.doi.org/10.1038/s41598-022-19259-5 |