Sublanguage analysis applied to trouble tickets

FLAIRS 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference

Volumn 2006, Issue , 2006, Pages 752-757

  Liddy, Elizabeth D ^a   Symonenko, Svetlana ^a   Rowe, Steven ^a  

^a SYRACUSE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE MINING; SUBLANGUAGE ANALYSIS; SUBLANGUAGE THEORETICAL FRAMEWORKS; TROUBLE TICKETS;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; DATA MINING; DATA REDUCTION; INFORMATION ANALYSIS; NONLINEAR PROGRAMMING;

FORMAL LANGUAGES;

EID: 33746092071     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Attensity. 2003. Improving Product Quality Using Technician Comments, White Paper.
2. Banerjee, S. & Pedersen, T. 2003. The Design, Implementation, & Use of the Ngram Statistics Package. Fourth International Conference on Intelligent Text Processing and Computational Linguistics, Mexico City.
3. Chang, C.-C. & Lin, C.-J. 2001. LIBSVM: a library for support vector machines http://www.csie.ntu.edu.tw/~cjlin/libsvm.
4. Church, K. W. & Hanks, P. 1989. Word Association Norms, Mutual Information & Lexicography, Proceedings of 27th Annual Meeting of the Association for Computational Linguistics, Vancouver, B.C..
5. Dunning, T. 1994. Accurate Methods for the Statistics of Surprise and Coincidence. Computational Linguistics, 19(1): 61-74.
6. Etzkorn, L.H., Davis, C.G. & Bowen, L.L. 1999. The Language of Comments in Computer Software: A Sublanguage of English. Journal of Pragmatics, 33(11): 1731-1756.
7. Friedman, C., Kraa, P., & Rzhetskya, A. 2002. Two Biomedical Sublanguages: a Description Based on the Theories of Zellig Harris. Journal of Biomedical Informatics. 35(4): 222-235.
8. Godby, C.J. 1994. Two Techniques for the Identification of Phrases in Full Text. Annual Review of OCLC Research.
9. Grishman, R. & Kittredge, R. I. (Eds.). 1986. Analyzing Language in Restricted Domains: Sublanguage Description & Processing: Lawrence Erlbaum Assoc.
10. Harris, Z. 1991. A theory of language and information: a mathematical approach. Oxford: Clarendon Press.
11. Joachims, T. 2002. Learning to Classify Text using Support Vector Machines: Ph.D. Thesis: Kluwer Academic Pub.
12. Johnson, D. 1992. RFC 1297 - NOC Internal Integrated Trouble Ticket System Functional SpecificationWishlist http://www.faqs.org/rfcs/rfc1297.html.
13. Liddy, E. D., Jorgensen, C. L., Sibert, E. E. & Yu, E. S. 1993. A Sublanguage Approach to Natural Language Processing for an Expert System. Information Processing & Management, 29(5): 633-645.
14. Marlow, D. W. 2004. Investigating Technical Trouble Tickets: An Analysis of a Homely CMC Genre. 37th Hawaii International Conference on System Sciences.
15. Provalis. 2005. Application of Statistical Content Analysis Text Mining to Airline Safety Reports. White Paper.
16. Somers, H. 2003. Sublanguage. In H. Somers (Ed.), Computers and Translation: A translator's guide.
17. Yilmazel, O., Symonenko, S., Balasubramanian, N. & Liddy, E. D. 2005a. Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content. IEEE International Conference on Intelligence and Security Informatics (ISI/IEEE 2005), Atlanta, GA.
18. Yilmazel, O., Symonenko, S., Balasubramanian, N. & Liddy, E.D. 2005b. Improved Document Representation for Classification Tasks for the Intelligence Community. Proceedings of the AAAI Stanford Spring Symposium.