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SYNTAX-BASED CONCEPT EXTRACTION FOR QUESTION ANSWERING
Title
SYNTAX-BASED CONCEPT EXTRACTION FOR QUESTION ANSWERING.
Creator
Glinos, Demetrios, Gomez, Fernando, University of Central Florida
Abstract / Description
Question answering (QA) stands squarely along the path from document retrieval to text understanding. As an area of research interest, it serves as a proving ground where strategies for document processing, knowledge representation, question analysis, and answer extraction may be evaluated in real world information extraction contexts. The task is to go beyond the representation of text documents as "bags of words" or data blobs that can be scanned for keyword combinations and word...
Show moreQuestion answering (QA) stands squarely along the path from document retrieval to text understanding. As an area of research interest, it serves as a proving ground where strategies for document processing, knowledge representation, question analysis, and answer extraction may be evaluated in real world information extraction contexts. The task is to go beyond the representation of text documents as "bags of words" or data blobs that can be scanned for keyword combinations and word collocations in the manner of internet search engines. Instead, the goal is to recognize and extract the semantic content of the text, and to organize it in a manner that supports reasoning about the concepts represented. The issue presented is how to obtain and query such a structure without either a predefined set of concepts or a predefined set of relationships among concepts. This research investigates a means for acquiring from text documents both the underlying concepts and their interrelationships. Specifically, a syntax-based formalism for representing atomic propositions that are extracted from text documents is presented, together with a method for constructing a network of concept nodes for indexing such logical forms based on the discourse entities they contain. It is shown that meaningful questions can be decomposed into Boolean combinations of question patterns using the same formalism, with free variables representing the desired answers. It is further shown that this formalism can be used for robust question answering using the concept network and WordNet synonym, hypernym, hyponym, and antonym relationships. This formalism was implemented in the Semantic Extractor (SEMEX) research tool and was tested against the factoid questions from the 2005 Text Retrieval Conference (TREC), which operated upon the AQUAINT corpus of newswire documents. After adjusting for the limitations of the tool and the document set, correct answers were found for approximately fifty percent of the questions analyzed, which compares favorably with other question answering systems.
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Date Issued
2006
Identifier
CFE0000985, ucf:46711
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0000985
ITERCHANGING DISCRETE EVENT SIMULATIONPROCESS INTERACTION MODELSUSING THE WEB ONTOLOGY LANGUAGE - OWL
Title
ITERCHANGING DISCRETE EVENT SIMULATIONPROCESS INTERACTION MODELSUSING THE WEB ONTOLOGY LANGUAGE - OWL.
Creator
Lacy, Lee, Sepulveda, Jose, University of Central Florida
Abstract / Description
Discrete event simulation development requires significant investments in time and resources. Descriptions of discrete event simulation models are associated with world views, including the process interaction orientation. Historically, these models have been encoded using high-level programming languages or special purpose, typically vendor-specific, simulation languages. These approaches complicate simulation model reuse and interchange. The current document-centric World Wide Web is...
Show moreDiscrete event simulation development requires significant investments in time and resources. Descriptions of discrete event simulation models are associated with world views, including the process interaction orientation. Historically, these models have been encoded using high-level programming languages or special purpose, typically vendor-specific, simulation languages. These approaches complicate simulation model reuse and interchange. The current document-centric World Wide Web is evolving into a Semantic Web that communicates information using ontologies. The Web Ontology Language – OWL, was used to encode a Process Interaction Modeling Ontology for Discrete Event Simulations (PIMODES). The PIMODES ontology was developed using ontology engineering processes. Software was developed to demonstrate the feasibility of interchanging models from commercial simulation packages using PIMODES as an intermediate representation. The purpose of PIMODES is to provide a vendor-neutral open representation to support model interchange. Model interchange enables reuse and provides an opportunity to improve simulation quality, reduce development costs, and reduce development times.
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Date Issued
2006
Identifier
CFE0001353, ucf:46977
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0001353
SOURCE REPRESENTATION AND FRAMING IN CHILDHOOD IMMUNIZATION COMMUNICATION
Title
SOURCE REPRESENTATION AND FRAMING IN CHILDHOOD IMMUNIZATION COMMUNICATION.
Creator
Raneri, April, Matusitz, Jonathan, University of Central Florida
Abstract / Description
Research has indicated a strong interest in knowing who is being represented and how information is being represented in the communication about childhood immunization. This study uses a two-part analysis to look at source representation and framing in childhood immunization communication. A quantitative analysis of articles from the New York Times and USA Today were examined for their source representation, their use of fear appeals, through the Extended Parallel Processing Model (EPPM), and...
Show moreResearch has indicated a strong interest in knowing who is being represented and how information is being represented in the communication about childhood immunization. This study uses a two-part analysis to look at source representation and framing in childhood immunization communication. A quantitative analysis of articles from the New York Times and USA Today were examined for their source representation, their use of fear appeals, through the Extended Parallel Processing Model (EPPM), and the use of frames, through the application of Prospect Theory. A qualitative semiotic analysis was conducted on 36 images that appeared on www.yahoo.com and www.google.com to find common themes for who is being represented and how information is being portrayed through the images. Results found a high prevalence of representation from the Center for Disease Control and Prevention, other governmental agencies and views from health/medical professionals in both the articles and images.
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Date Issued
2010
Identifier
CFE0003016, ucf:48343
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003016