Date of Award

1-1-2014

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Information Science

Content Description

1 online resource (xi, 151 pages) : illustrations (some color)

Dissertation/Thesis Chair

Ozlem Uzuner

Committee Members

Anna Rumshisky, Siwei Lyu

Keywords

Clinical Language Understanding, Natural Language Processing, Temporal Reasoning, Natural language processing (Computer science), Temporal automata, Medical records, Semantic computing

Subject Categories

Bioinformatics | Computer Sciences | Library and Information Science

Abstract

Temporal reasoning in natural language refers to the extraction and understanding of time-related information conveyed in free text. A clinical narrative temporal reasoning component can enable a spectrum of medical natural language processing (NLP) applications that directly improve patient care documentation efficiency, accessibility and accountability. This dissertation contributes in three subtasks under temporal reasoning: temporal annotation, temporal expression extraction and temporal relation inferences. The temporal annotation work described in the dissertation produced one of the first publicly available clinical narratives. We published one of the first sets of temporal

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