By Pankaj Mehra
The target of this publication is to make synthetic Neural Networks available to scholars, academicians, engineers, and different pros who are looking to find out about the sector , in addition to to researchers, who can use this instructional to turn into educated approximately present study.
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Additional info for Artificial Intelligence - IEEE Artificial Neural Networks A Tutorial
For K-Means the parameter K was chosen to be 200. Finally 128 clusters with at least 2 cluster members have been generated. There were two big clusters of terms which could not be well separated. The clusters shown in table 10 are constituted by 463 terms. As can be seen, there are plenty clusters where the semantic coherence can be recognized. On the other hand, there is still much room for optimization, since also many outliers can be found. The row-row clustering (term clustering) which yielded the best results has the disadvantage, that since clustering with hard cluster membership was used, terms can only occur in one sibling context at a clustering.
Then we gave an overview on several methods which can be applied to obtain semantic sibling relations. The best results we could obtain are based by term clustering. Further improvements can be expected by hierarchical clustering algorithms. The acquisition of sibling semantics was up to now relative rare. For a complete acquisition of a term/concept hierarchy it is further desirable to combine our methods which perform well on ﬁnding co-ordination relations with methods that perform well on ﬁnding super-ordination sub-ordination relations.
Both ontologies did not contain synonyms; therefore we additionally added the synonyms obtained for the basic vocabulary from Wordnet. This was done to ensure, that for the terms of the vocabulary a synonym relation exists for most of the terms. The enhanced vocabulary consists of 1786 terms. The synonyms which have been obtained from Wordnet are also used for evaluation as gold standard synonym reference. From the 13,177,526 text-span sets found in the Group-By-Path step, 864,431 sibling term sets, which are constituted by at least two terms of the vocabulary, have been obtained.
Artificial Intelligence - IEEE Artificial Neural Networks A Tutorial by Pankaj Mehra