Read e-book online Artificial Intelligence: Methodology, Systems, and PDF

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By Yaakov HaCohen-Kerner, Aharon Tayeb (auth.), Allan Ramsay, Gennady Agre (eds.)

ISBN-10: 3642331858

ISBN-13: 9783642331855

This e-book constitutes the refereed lawsuits of the fifteenth overseas convention on synthetic Intelligence: technique, structures, and functions, AIMSA 2012, held in Varna, Bulgaria in September 2012.
The 36 revised complete papers provided have been rigorously reviewed and chosen from quite a few submissions. The papers are prepared in topical sections on ordinary language processing, social networks, wisdom illustration and reasoning, desktop studying, making plans and brokers, seek, and laptop vision.

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Additional info for Artificial Intelligence: Methodology, Systems, and Applications: 15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012. Proceedings

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However definitions are infrequent and occur only in specific text genres. The initial graph emerging from the extracted pairs is next weighted and prunned. A metric-based taxonomy induction framework [11] utilises 15 different extraction methods producing feature functions: a term pair → a real value or {0, 1} for pattern results. The process starts with an initial partial taxonomy T 0 , used also to estimate values of parameters. Taxonomy expansion is controlled by two principles: Minimum Evolution Assumption and Abstractness Assumption.

Then, the design of experiments using the review data and selected clustering algorithms is provided. In the final section, the results of experiments are depicted, including interpretation and a brief discussion. 2 Clustering the Textual Data The text data used in the experiments was a subset from data described in [17], containing customers’ opinions written in many languages of several millions customers who – via the on-line Internet service – booked accommodations in many different hotels and countries.

Analysis of morphological word forms provides a limited information about their semantics. As we argued in Sec. 2 there is a substantial level of ambiguity in prefixes and suffixes. We need to apply a kind of semantic processing. We have proposed a method of semantic classification of the potential derivational pairs. g. from a wordnet). The method is language independent to a very large extent (only a small table of internal stem alternations must be defined, cf [10]) as the assumed level of syntactic processing of the corpus is very limited to simple morpho-syntactic constraints.

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Artificial Intelligence: Methodology, Systems, and Applications: 15th International Conference, AIMSA 2012, Varna, Bulgaria, September 12-15, 2012. Proceedings by Yaakov HaCohen-Kerner, Aharon Tayeb (auth.), Allan Ramsay, Gennady Agre (eds.)


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