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dc.contributor.authorBraxling, Trace
dc.date.accessioned2021-02-24T23:25:22Z
dc.date.available2021-02-24T23:25:22Z
dc.date.issued2020-05
dc.identifier.urihttp://hdl.handle.net/11122/11855
dc.descriptionMaster's Project (M.S.) University of Alaska Fairbanks, 2020en_US
dc.description.abstractFor a particular object, vast amounts of information exists within the Wikipedia article relating to that object. From this article, it is often desirable to produce simple, sentence length facts about this object. The purpose of this project is to explore a number of methods for producing single sentences that provide informational facts (or traits) from a given text. These methods are then evaluated in comparison to each other, as well as a hand picked ground truth . By analyzing these results, it can be determined which aspects of the methods is worth further examination for the task of trait extraction.en_US
dc.language.isoen_USen_US
dc.titleTrait extraction from article texten_US
dc.typeOtheren_US
dc.type.degreemsen_US
dc.identifier.departmentDepartment of Computer Scienceen_US
dc.contributor.chairHartman, Chris
dc.contributor.committeeMetzgar, Jonathan
dc.contributor.committeeChappell, Glenn G.
refterms.dateFOA2021-02-24T23:25:22Z


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