By Marina Sokolova, Peter van Beek
This booklet constitutes the refereed complaints of the twenty seventh Canadian convention on synthetic Intelligence, Canadian AI 2014, held in Montréal, quality control, Canada, in may possibly 2014. The 22 average papers and 18 brief papers offered including three invited talks have been rigorously reviewed and chosen from ninety four submissions. The papers hide quite a few issues inside AI, akin to: agent platforms; AI functions; computerized reasoning; bioinformatics and BioNLP; case-based reasoning; cognitive versions; constraint delight; info mining; E-commerce; evolutionary computation; video games; details retrieval; wisdom illustration; computing device studying; multi-media processing; ordinary language processing; neural nets; making plans; privacy-preserving information mining; robotics; seek; clever pix; uncertainty; consumer modeling; internet applications.
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Extra info for Advances in Artificial Intelligence: 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings
Alliheedi and C. Di Marco family, pay the taxes, meet the mortgage , the phrases raise the family, pay the taxes, and meet the mortgage have a parallel structure. Epanalepsis The repetition at the end of a line, phrase, or clause of a word or words that occurred at the beginning of the same line, phrase, or clause . For example, in the sentence, I am a man who sees life in terms of missions - missions deﬁned and missions completed , the word missions appears three times. Polyptoton The repetition of a word, but in a diﬀerent form, using a cognate of a given word in close proximity .
4 Polyptoton JANTOR was able to correctly detect several instances of polyptoton in our test corpus. From our observation of the detection of polyptoton, however, we found that JANTOR has one problem with detecting this ﬁgure: it fails to detect some words that are in diﬀerent stem forms. 8 Evaluation Evaluation of summarization requires human judgment in several quality metrics such as coherence, grammaticality, and content. Although the quality metrics are signiﬁcant for the evaluation of summarization systems, these metrics would require an enormous amount of human eﬀort which is very expensive and diﬃcult to manage .
17. 17. 20. 20. The results of the hypotheses for each factor, based on the t-Test value and the Pvalue approach, are presented in Table 3. The symbol ↑↓ means that we can’t reject the null hypothesis, HYP0, so there is no significant difference between using the mobile without adaptation and using the mobile with adaptation for the objective factor. The symbols ↑ and ↓ mean that we reject the null hypothesis, HYP0. So, there is a significant difference between using mobile with and without adaptation, and, based on the value of the t test that falls either in the positive or the negative region for each factor, we accept the alternative hypothesis, HYP1.
Advances in Artificial Intelligence: 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings by Marina Sokolova, Peter van Beek