Download Advances in Computational Intelligence: 11th Mexican by Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, PDF

By Grigori Sidorov, Francisco Velasquez, Efstathios Stamatatos, Alexander Gelbukh (auth.), Ildar Batyrshin, Miguel González Mendoza (eds.)

The two-volume set LNAI 7629 and LNAI 7630 constitutes the refereed court cases of the eleventh Mexican overseas convention on man made Intelligence, MICAI 2012, held in San Luis Potosí, Mexico, in October/November 2012. The eighty revised papers offered have been conscientiously reviewed and chosen from 224 submissions. the second one quantity contains forty papers targeting gentle computing. The papers are equipped within the following topical sections: normal language processing; evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid clever structures; fuzzy structures and probabilistic versions in choice making.

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Additional resources for Advances in Computational Intelligence: 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosí, Mexico, October 27 – November 4, 2012. Revised Selected Papers, Part II

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5 The scheme rel clause appears twice in this table because it is used for annotating non-restrictive relative clauses, expressing appositive modification (APP) and also restrictive relative clauses, expressing intersective modification (CONJ). The phenomena APP and CONJ are annotated using several annotation schemes in order to capture the different syntactic expressions that they allow. 18 A. Toledo et al. – RMOD: The restrictive modification in August 1991 licenses a subsumption of this expression to 1991.

Relatively large corpus of works of three authors was used. We used as baseline traditional n-grams of words, POS tags and characters. The results show that sn-gram technique outperforms the baseline technique. As future work, we will apply the idea of sn-grams to other NLP tasks. As far as our particular data is concerned, we will perform the exhaustive comparison of all features using technique of sn-grams. We also plan to experiment with various types of mixed sn-grams. Acknowledgements. Work done under partial support of Mexican government (projects CONACYT 50206-H and 83270, SNI) and Instituto Politécnico Nacional, Mexico (projects SIP 20111146, 20113295, 20120418, COFAA, PIFI), Mexico City government (ICYT-DF project PICCO10-120) and FP7-PEOPLE-2010-IRSES: Web Information Quality - Evaluation Initiative (WIQ-EI) European Commission project 269180.

A# indicates the number of annotations, P# indicates the number of entailment pairs containing an annotation and P% indicates the portion of annotated pairs relative to the total amount of entailment pairs. Ann. RTE 1 Dev set Test set A# P# P% A# P# P% APP 97 87 31 161 134 34 CONJ 90 79 28 126 112 28 RMOD 180 124 44 243 167 42 Any 367 210 74 530 297 74 RTE 2 Dev set Test set A# P# P% A# P# P% 178 149 37 155 135 34 140 118 30 161 144 36 311 204 51 394 236 59 629 316 79 710 350 88 RTE 3 Dev set Test set A# P# P% A# P# P% 162 128 31 166 136 33 157 121 29 162 134 33 262 176 43 306 193 47 581 293 71 635 328 80 Table 3.

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