Identification, characterization, and grounding of gradable terms in clinical text

Shivade, Chaitanya;de Marneffe, Marie-Catherine;Fosler-Lussier, Eric;Lai, Albert M.
(2016) Proceedings of the 15th Workshop on Biomedical Natural Language Processing — Location: Berlin, Germany (August.2016)

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Gradable adjectives are inherently vague and are used by clinicians to document medical interpretations (e.g., severe reaction, mild symptoms). We present a comprehensive study of gradable adjectives used in the clinical domain. We automatically identify gradable adjectives and demonstrate that they have a substantial presence in clinical text. Further, we show that there is a specific pattern associated with their usage, where certain medical concepts are more likely to be described using these adjectives than others. Interpretation of statements using such adjectives is a barrier in medical decision making. Therefore, we use a simple probabilistic model to ground their meaning based on their usage in context.
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Shivade, C., de Marneffe, M.-C., Fosler-Lussier, E., & Lai, A. M. (2016). Identification, characterization, and grounding of gradable terms in clinical text. Proceedings of the 15th Workshop on Biomedical Natural Language Processing. Published. Proceedings of the 15th Workshop on Biomedical Natural Language Processing, Berlin, Germany. https://doi.org/10.18653/v1/w16-2903 (Original work published 2016)