By Raúl Monroy (auth.), Grigori Sidorov, Arturo Hernández Aguirre, Carlos Alberto Reyes García (eds.)
Artificial intelligence (AI) is a department of machine technology that types the human skill of reasoning, utilization of human language and association of data, fixing difficulties and virtually all different human highbrow skills. frequently it truly is charact- ized via the applying of heuristic equipment simply because within the majority of situations there is not any certain strategy to this sort of challenge. The Mexican foreign convention on man made Intelligence (MICAI), a every year foreign convention sequence equipped through the Mexican Society for man made Int- ligence (SMIA), is an immense overseas AI discussion board and the most occasion within the educational lifetime of the country’s turning out to be AI neighborhood. In 2010, SMIA celebrated 10 years of task relating to the association of MICAI as is represented in its slogan: “Ten years at the street with AI”. MICAI meetings routinely put up top of the range papers in all components of arti- cial intelligence and its functions. The complaints of the former MICAI occasions have been additionally released by way of Springer in its Lecture Notes in synthetic Intelligence (LNAI) sequence, vols. 1793, 2313, 2972, 3789, 4293, 4827, 5317, and 5845. given that its foun- tion in 2000, the convention has been growing to be in attractiveness and bettering in quality.
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Extra info for Advances in Artificial Intelligence: 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part I
A text can be categorized as objective or subjective. The objective text is fact based neutral text, but opinions, reviews and discussions are all in the category of subjective text, which exhibit some feeling or sentiment. The main goal of a sentiment analyzer is to classify the subjectivity orientation towards positive or negative. That is why sentiment analysis is sometimes referred to as subjectivity analysis. The approaches mentioned above are mostly addressed for English text, but these are not able to handle Arabic and Arabic-orthography-based language like Urdu, Persian, and some other local dialects of south Asia.
Weiss, P. ), vol. 2. Harvard University Press, Cambridge (1959) 19. : The Logic of Scientiﬁc Discovery, vol. 2. Routledge, New York (2002) 20. : Attacking group protocols by refuting incorrect inductive conjectures. Automated Reasoning 36(2), 149–176 (2006); Special Issue on Automated Reasoning for Security Protocol Analysis 21. : The importance of non-theorems and counterexamples in program veriﬁcation. , Woodcock, J. ) VSTTE 2005. LNCS, vol. 4171, pp. 491–495. Springer, Heidelberg (2008) 22.
However, there is not a discourse parser for Spanish texts. The first stage in order to develop this tool is discourse segmentation. In this work, we present DiSeg, the first discourse segmenter for Spanish, which uses the framework of Rhetorical Structure Theory and is based on lexical and syntactic rules. We describe the system and we evaluate its performance against a gold standard corpus, obtaining promising results. Keywords: Discourse Parsing, Discourse Segmentation, Rhetorical Structure Theory.