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Rad-SpatialNet: A Frame-based Resource for Fine-Grained Spatial Relations in Radiology Reports

This paper proposes a representation framework for encoding spatial language in radiology based on frame semantics. The framework is adopted from the existing SpatialNet representation in the general domain with the aim to generate more accurate representations of spatial language used by radiologis...

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Publicat a:LREC Int Conf Lang Resour Eval
Autors principals: Datta, Surabhi, Ulinski, Morgan, Godfrey-Stovall, Jordan, Khanpara, Shekhar, Riascos-Castaneda, Roy F., Roberts, Kirk
Format: Artigo
Idioma:Inglês
Publicat: 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7444653/
https://ncbi.nlm.nih.gov/pubmed/32844163
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