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Download Advances in Artificial Intelligence: 9th Mexican by Raúl Monroy (auth.), Grigori Sidorov, Arturo Hernández PDF

By Raúl Monroy (auth.), Grigori Sidorov, Arturo Hernández Aguirre, Carlos Alberto Reyes García (eds.)

Artificial intelligence (AI) is a department of laptop technology that versions the human skill of reasoning, utilization of human language and association of data, fixing difficulties and virtually all different human highbrow skills. frequently it really is charact- ized through the applying of heuristic equipment simply because within the majority of circumstances there's no distinctive strategy to this type of challenge. The Mexican overseas convention on synthetic Intelligence (MICAI), a each year foreign convention sequence prepared through the Mexican Society for man made Int- ligence (SMIA), is a tremendous overseas AI discussion board and the most occasion within the educational lifetime of the country’s starting to be AI neighborhood. In 2010, SMIA celebrated 10 years of job with regards to the association of MICAI as is represented in its slogan: “Ten years at the highway with AI”. MICAI meetings ordinarily put up fine quality papers in all components of arti- cial intelligence and its functions. The lawsuits of the former MICAI occasions have been additionally released by means 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 transforming into in acceptance and enhancing in quality.

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Additional info for Advances in Artificial Intelligence: 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part I

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Te xt [tag] [S] xxxx [/S ] [N] yyyy [/N] [J] www [/J] [/tag] Sentence segmentation and POS tagging (Freeling) Shallow parsing (Freeling with recate gorized grammar) xxxx yyyy www EDU1: [xxxx] EDU2: [yyyy] EDU3: [aaaa] Transformation to XML (with Perl) Segmenta tion rules application (with Perl and Twig): - Detection of se gme nt boundaries - EDUs definition Fig. 2. es. The system is also available under General Public License (GPL). It requires FreeLing and it is made of three elements: Discourse Segmentation for Spanish Based on Shallow Parsing 17 1) a grammar for FreeLing, 2) a small perl program to transform FreeLing output into XML, 3) a second perl program that applies discourse segmentation rules and requires TWIG library for XML.

La influencia del anotador y las técnicas de traducción en el desarrollo de árboles retóricos. Un estudio en español y euskera. In: 7th Brazilian Symposium in Information and Human Language Technology (STIL). Universidade de São Paulo, São Carlos (2009) 20. : Representing discourse for automatic text summarization via shallow NLP techniques. PhD thesis. Universitat de Barcelona, Barcelona (2005) 21. 3: Syntactic and semantic services in an open-source NLP library. In: 5th International Conference on Language Resources and Evaluation.

We find problems concerning segmentation rules and concerning Freeling. The main problem of segmentation rules concerns situations where the element que (“that”) is involved at the same time that the conjunction y (“and”). Example 3a shows DiSeg segmentation and example 3b shows the correct segmentation. Discourse Segmentation for Spanish Based on Shallow Parsing 19 3a. ]EDU2 ENGLISH TRANSLATION OF 3A. ]EDU2 3b. ]EDU1 ENGLISH TRANSLATION OF 3B. ]EDU1 One of the DiSeg segmentation rules indicates that the relative que (“that”) is not considered as segmentation boundary.

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