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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 An exploratory study using the predicate-argument structure to develop methodology for measuring semantic similarity of radiology sentences Newsom, Eric Tyner. - 2013 Abstract: Indiana University-Purdue University Indianapolis (IUPUI) ; The amount of information produced in the form of electronic free text in healthcare is increasing to levels incapable of being processed by humans for advancement of his/her professional practice. Information extraction (IE) is a sub-field of natural language processing with the goal of data reduction of unstructured free text. Pertinent to IE is an annotated corpus that frames how IE methods should create a logical expression necessary for processing meaning of text. Most annotation approaches seek to maximize meaning and knowledge by chunking sentences into phrases and mapping these phrases to a knowledge source to create a logical expression. However, these studies consistently have problems addressing semantics and none have addressed the issue of semantic similarity (or synonymy) to achieve data reduction. To achieve data reduction, a successful methodology for data reduction is dependent on a framework that can represent currently popular phrasal methods of IE but also fully represent the sentence. This study explores and reports on the benefits, problems, and requirements to using the predicate-argument statement (PAS) as the framework. A convenient sample from a prior study with ten synsets of 100 unique sentences from radiology reports deemed by domain experts to mean the same thing will be the text from which PAS structures are formed. Keyword: Computational linguistics -- Analysis; Data mining; Description logics; Electronic information resource searching -- Research; Information Extraction; Information storage and retrieval systems -- Research; Medical informatics -- Data processing; Natural Language Processing; Natural language processing (Computer science); Predicate (Logic); Predicate-Argument Structure; Semantic computing -- Research; Semantic Similarity; Semantic Web; Semantics -- Data processing; Text processing (Computer science) URL: https://doi.org/10.7912/C2/894 https://hdl.handle.net/1805/3666 BASE Hide details 2 An exploratory study using the predicate-argument structure to develop methodology for measuring semantic similarity of radiology sentences ... Newsom, Eric Tyner. - : IUPUI University Library, 2013 BASE Show details

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