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Towards Semantic Modeling of Contradictions and Disagreements: A Case Study of Medical Guidelines

Abstract

We introduce a formal distinction between contradictions and disagreements in natural language texts, motivated by the need to formally reason about contradictory medical guidelines. This is a novel and potentially very useful distinction, and has not been discussed so far in NLP and logic. We also describe a NLP system capable of automated finding contradictory medical guidelines; the system uses a combination of text analysis and information retrieval modules. We also report positive evaluation results on a small corpus of contradictory medical recommendations.Comment: 5 pages, 1 figure, accepted at 12th International Conference on Computational Semantics (IWCS-2017

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