By Atefeh Farzindar, Vlado Keselj
This booklet constitutes the refereed complaints of the twenty third convention on synthetic 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 scholar symposium and the abstracts of three keynote shows have been conscientiously reviewed and chosen from ninety submissions. The papers are equipped in topical sections on textual content type; textual content summarization and IR; reasoning and e-commerce; probabilistic laptop studying; neural networks and swarm optimization; computer studying and information mining; usual language processing; textual content analytics; reasoning and making plans; e-commerce; semantic net; computer studying; and knowledge mining.
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Extra resources for Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 - June 2, 2010,
Both sets of results and the flat classification results are shown in Table 5. 46 D. Ghazi, D. Inkpen, and S. Szpakowicz Table 5. 38 By comparing the results of the second level of gold standard classification with the flat classification, we can see that the F-measure of all the emotional classes in the two-level experiment is higher than the F-measure of the emotional classes in the flat classification. In two emotion classes, however, the precision of the flat approach is higher. In disgust the difference is insignificant but the difference between precision and recall of the happiness class in the flat approach and the two-level approach cannot be ignored.
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