Nuance Communications, Inc.

Microsoft Technology Licensing, LLC

Language and Computing, Inc.

Universiteit Gent

Vib Vzw

Frederik Coppens

Frank Montyne

Maarten Van Mol

Werner Ceusters

Mick O'Donnell

Girija Yegnanarayanan

Mariana Casella Dos Santos

Johan Raedemaeker

Joeri Van Der Vloet

Ignace Desimpel

James R Flanagan

Roubik Manoukian

David Decraene

Karen Anne Doyle

Tom Deray

Marnix Holvoet

Isam H Habboush

David Hellman

Anthony J Elcocks

Matthew R Shelton

Maria Van Gurp

Scott Abrutyn

Davide Zaccagnini

Anush Hartunian

Dirk Gustaaf InzÉ

Aleksandra Skirycz

Hannes Claeys

An original text that is a representation of a narration of a patient encounter provided by a clinician may be received and re-formatted to produce a formatted text. One or more clinical facts may be extracted from the formatted text. A first fact of the clinical facts may be extracted from a first portion of the formatted text, and the first portion of the formatted text may be a formatted version of a first portion of the original text. A linkage may be maintained between the first fact and the first portion of the original text.

Methods and apparatus for formatting text for clinical fact extraction

A Natural Language Understanding system is provided for indexing of free text documents. The system according to the invention utilizes typographical and functional segmentation of text to identify those portions of free text that carry meaning. The system then uses words and multi-word terms and phrases identified in the free to text to identify concepts in the free text. The system uses a lexicon of terms linked to a formal ontology that is independent of a specific language to extract concepts from the free text based on the words and multi-word terms in the free text. The formal ontology contains both language independent domain knowledge concepts and language dependent linguistic concepts that govern the relationships between concepts and contain the rules about how language works. The system according to the current invention may preferably be used to index medical documents and assign codes from independent coding systems, such as, SNOMED, ICD-9 and ICD-10. The system according to the current invention may also preferably make use of syntactic parsing to improve the efficiency of the method.

Conceptual world representation natural language understanding system and method

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Kerksken, Belgium

Frederik Coppens