Sublanguage analysis applied to trouble tickets

Elizabeth D. Liddy, Svetlana Symonenko, Steven Rowe

Research output: Contribution to conferencePaper

7 Scopus citations

Abstract

A feasibility study was conducted to determine whether the sublanguage methodology of NLP could analyze and represent the vital information contained in trouble tickets' ungrammatical text and to explore various knowledge mining approaches to render the data contained in these documents accessible for analysis and prediction. Experiments showed that the linguistic characteristics of trouble tickets fit the sublanguage theoretical framework, thus enabling NLP systems to tap into the unrealized value of trouble ticket data.

Original languageEnglish (US)
Pages752-757
Number of pages6
StatePublished - Jul 24 2006
EventFLAIRS 2006 - 19th International Florida Artificial Intelligence Research Society Conference - Melbourne Beach, FL, United States
Duration: May 11 2006May 13 2006

Other

OtherFLAIRS 2006 - 19th International Florida Artificial Intelligence Research Society Conference
CountryUnited States
CityMelbourne Beach, FL
Period5/11/065/13/06

ASJC Scopus subject areas

  • Engineering(all)

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    Liddy, E. D., Symonenko, S., & Rowe, S. (2006). Sublanguage analysis applied to trouble tickets. 752-757. Paper presented at FLAIRS 2006 - 19th International Florida Artificial Intelligence Research Society Conference, Melbourne Beach, FL, United States.