By Dekang Lin (auth.), Atefeh Farzindar, Vlado Kešelj (eds.)
This ebook constitutes the refereed complaints of the twenty third convention on man made Intelligence, Canadian AI 2010, held in Ottawa, Canada, in May/June 2010. The 22 revised complete papers provided including 26 revised brief papers, 12 papers from the graduate pupil symposium and the abstracts of three keynote displays have been conscientiously reviewed and chosen from ninety submissions. The papers are prepared in topical sections on textual content type; textual content summarization and IR; reasoning and e-commerce; probabilistic laptop studying; neural networks and swarm optimization; computing device studying and knowledge mining; normal language processing; textual content analytics; reasoning and making plans; e-commerce; semantic internet; computing device studying; and information mining.
Read Online or Download Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 – June 2, 2010. Proceedings PDF
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Extra info for Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 – June 2, 2010. Proceedings
This dataset is balanced among the alt, sci, comp, and rec categories from the Usenet hierarchy. An example message, annotated as “flame”, is: “Feudalist has a new name. How many is that now? Feudalist. Quonster. Backto1913. That’s four with BacktoTheStoneAge. I have never met anyone this insecure before. Actually, I think that BacktoTheStoneAge is intended as a parody. ” Another example, also a “flame” is: “Do you find joy pouncing on strangers I have never found her doing this. ”. After deleting the messages longer than 2500 characters and two messages in French, we obtained with 1153 usable messages.
McGraw-Hill, New York (1997) 12. : The threshold approach to clinical decision making. New England Journal of Medicine (1980) 13. : Rough membership functions. , Kacprzyk, J. ) Advances in the Dempster-Shafer Theory of Evidence, pp. 251–271. John Wiley and Sons, New York (1994) 14. : A Bayesian approach to ﬁltering junk e-mail.
An automatic discriminative software with a sensitivity parameter for flame or abusive language detection would be a useful tool. Although a human could recognize these sorts of useless annoying texts among the useful ones, it is not an easy task for computer programs. In this paper, we describe an automatic flame detection method which extracts features at different conceptual levels and applies multilevel classification for flame detection. While the system is taking advantage of a variety of statistical models and rule-based patterns, there is an auxiliary weighted pattern repository which improves accuracy by matching the text to its graded entries.