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 hasn’t 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.
Publication Date
1-1-2017
Publication Title
12th International Conference on Computational Semantics, IWCS 2017 - Short Papers
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
85095315762 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85095315762
STARS Citation
Zadrozny, Wlodek; Hematialam, Hossein; and Garbayo, Luciana, "Towards Semantic Modeling Of Contradictions And Disagreements: A Case Study Of Medical Guidelines" (2017). Scopus Export 2015-2019. 6698.
https://stars.library.ucf.edu/scopus2015/6698