An approach to automatic text production in electronic medical record systems
T Nordgård, MT Ranang, J Ven - … 14-16, 2005, Proceedings, Part III 9, 2005 - Springer
T Nordgård, MT Ranang, J Ven
Knowledge-Based Intelligent Information and Engineering Systems: 9th …, 2005•SpringerThe paper describes basic properties of a sentence generator which requires minimal input
information. Input is a set of unstructured semantic concepts, and the generator produces
sentences which are compatible with this set by utilizing information from a statistical
language model. Output is filtered by a simple context-free grammar. The system is trained
on text from electronic medical records, and it is able to produce well-formed sentences in
cases involving simple medication prescriptions and symptom descriptions. Basic …
information. Input is a set of unstructured semantic concepts, and the generator produces
sentences which are compatible with this set by utilizing information from a statistical
language model. Output is filtered by a simple context-free grammar. The system is trained
on text from electronic medical records, and it is able to produce well-formed sentences in
cases involving simple medication prescriptions and symptom descriptions. Basic …
Abstract
The paper describes basic properties of a sentence generator which requires minimal input information. Input is a set of unstructured semantic concepts, and the generator produces sentences which are compatible with this set by utilizing information from a statistical language model. Output is filtered by a simple context-free grammar. The system is trained on text from electronic medical records, and it is able to produce well-formed sentences in cases involving simple medication prescriptions and symptom descriptions. Basic complexity aspects of the problem are described, and suggestions for efficient implemented generators which manage to produce sentences within acceptable time limits, despite the complexity of the approach, are presented in the final sections.
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