Identifying Technology Terms in Document Text

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dc.contributor.advisor Pustejovsky, James
dc.contributor.author Cherenina, Olga
dc.date.accessioned 2013-02-01T16:28:12Z
dc.date.available 2013-02-01T16:28:12Z
dc.date.issued 2013
dc.identifier.uri http://hdl.handle.net/10192/24530
dc.description.abstract Finding technologies in the text of patents or other documents such as medical articles is a subtask of building a technology ontology. Building such a technology ontology was proposed by Brandeis scholars as part of the project aimed at patent classification based on a certain notion of availability of technologies relevant to the patent. Technology ontology represents a database of technologies evaluated by their availability within certain time frame, that is their maturity. Technology terms identification in the text of documents is an initial step necessary for building an ontology. The terms found in the text of the patent will reflect the notion of a technology and constitute the basis for technology maturity identification. Here, we explore the efficiency of using natural language processing techniques to help identify technologies in patent text. We attempt at creating and using a matcher that uses lexical and syntactic features to look for technology terms. We address the problem of determining the concept of a technology which is important for the task and use an annotation for the evaluation of the matcher. Finally, we analyze the results and propose improvements to the system.
dc.description.sponsorship Brandeis University, Graduate School of Arts and Sciences
dc.format.mimetype application/pdf
dc.language English
dc.language.iso eng
dc.publisher Brandeis University
dc.relation.ispartofseries Brandeis University Theses and Dissertations
dc.rights Copyright by Olga Cherenina 2013
dc.subject identifying technology terms
dc.subject emergence
dc.title Identifying Technology Terms in Document Text
dc.type Thesis
dc.contributor.department Department of Computer Science
dc.degree.name MA
dc.degree.level Masters
dc.degree.discipline Computer Science
dc.degree.grantor Brandeis University, Graduate School of Arts and Sciences


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