Год выпуска: 2011 Автор: Henock Tilahun Teffera Издательство: LAP Lambert Academic Publishing Страниц: 64 ISBN: 9783844334722
Описание
In this study we have tried to harvest labeled clusters of semantically similar named entities which can be used as a first step for web document clustering. We first collect ~44,000 named entities from a thesaurus which is constructed by Dekang Lin applying a word similarity measure based on their distributional pattern. Using their similarity metrics and CLUTO clustering software, we create 2000 semantically similar clusters of the named entities. Then we collect ~305,500 label-instance pairs from the 2007 English Wikipedia dump and implement a labeling algorithm presented by Benjamin Van Durme and M.Pasca (2008) to assign a label to the clusters. This automatic lableing task is able to assign a label which describes the majority of the named entities in 924 of the clusters, which is 46.2% of the total clusters. Finally we evaluate both the clustering and labeling tasks taking 86 randomly selected clusters and on the bases of two native English speaker evaluators? subjective...
