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Taxonomy of the brain's long-term memory. Diagram adapted from the web-page: The Brain from Top to Bottom: An interactive website on human brain and behavior http://thebrain.mcgill.ca/flash/index a.html Last accessed on Oct 22 2011.

Taxonomy of the brain's long-term memory. Diagram adapted from the web-page: The Brain from Top to Bottom: An interactive website on human brain and behavior http://thebrain.mcgill.ca/flash/index a.html Last accessed on Oct 22 2011.

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... current understanding of declarative memory are founded in the works of Tulving (1972), where two contrasting forms of long-term memory are proposed: semantic and episodic memory. This is schematically shown in Figure 1. ...
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... the high number of web pages being classified as correctly belonging to the topic gives us an indication of the effectiveness of the topical markers algorithm in uniquely determining the topic. Figure 10 shows the number of search results for all 10 topical markers of each topic which were classified as correctly belonging to the topic. The 10 topics are shown on the x-axis. ...
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... overall cohesiveness score of a topic term was the mean of its three cluster-wise cohesiveness scores. The overall cohesiveness score was computed for both the algorithms for each of the input topic terms as shown in figure 11. We observed that cohesiveness of the topic expansion clusters was better than the cohesiveness of LDA clusters . ...
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... observed that the relatedness of topic expansion clusters was always higher than that of the LDA clusters for any given topic. The relatedness scores for the two algorithms are shown in figure 12. ...
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... evaluation was similar to what was done earlier and the overall relatedness and cohesiveness scores were computed for each of the 25 input terms based on evaluator inputs. We found out that the results of topic expansion were consid- erably better than the results of the MCL based clustering method as shown in figure 13. This algorithm for word sense disambiguation was proposed on a specific co- occurrence graph which was built by connecting the nouns occurring in a list. ...
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... also observed that in the results of latter method, the focus is not on the ordering of the terms within the clusters according their importance with respect to the topic. Hence the cohesiveness scores of the clusters based on the top 10 terms were quite low and hence did not mandate a comparison. Fig. 13 Comparison of relatedness scores between topic expansion and word sense disam- ...